{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/model-predictive-control/papers/3","list_of":"/task/model-predictive-control","task":"Model Predictive Control","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":3,"pages_in_order":16,"rows_per_page":100,"rows":[201,300],"of":1582,"counts":{"archive_papers_tagged":1582,"with_a_code_link":260,"where_syntology_ran_a_sample":20,"not_listed_spam_title":0,"listed":1582,"listed_where_code_ran":20,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":19,"every_run_a_failure_of_syntologys_instrument":1,"listed_with_a_run_with_no_instrument_failure":19,"listed_every_run_a_failure_of_syntologys_instrument":1,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/model-predictive-control","prev":"/task/model-predictive-control/papers/2","next":"/task/model-predictive-control/papers/4","papers":[{"url":"/paper/risk-bounded-nonlinear-robot-motion-planning","slug":"risk-bounded-nonlinear-robot-motion-planning","title":"Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control","date":"2022-01-05","arxiv_id":"2201.01483","repositories_listed":1,"syntology":null},{"url":"/paper/deep-learning-based-predictive-control-of","slug":"deep-learning-based-predictive-control-of","title":"Deep Learning-based Predictive Control of Battery Management for Frequency Regulation","date":"2022-01-04","arxiv_id":"2201.01166","repositories_listed":1,"syntology":null},{"url":"/paper/optimized-adaptive-mpc-for-lateral-control-of","slug":"optimized-adaptive-mpc-for-lateral-control-of","title":"Optimized adaptive MPC for lateral control of autonomous vehicles","date":"2021-11-11","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/system-level-synthesis-based-robust-model","slug":"system-level-synthesis-based-robust-model","title":"System Level Synthesis-based Robust Model Predictive Control through Convex Inner Approximation","date":"2021-11-10","arxiv_id":"2111.05509","repositories_listed":1,"syntology":null},{"url":"/paper/an-artificial-neural-network-based-model","slug":"an-artificial-neural-network-based-model","title":"An Artificial Neural Network-Based Model Predictive Control for Three-phase Flying Capacitor Multi-Level Inverter","date":"2021-10-15","arxiv_id":"2110.08101","repositories_listed":1,"syntology":null},{"url":"/paper/implementation-of-linear-model-predictive","slug":"implementation-of-linear-model-predictive","title":"Implementation of Linear Model Predictive Control -- Tutorial","date":"2021-09-24","arxiv_id":"2109.11986","repositories_listed":1,"syntology":null},{"url":"/paper/physics-informed-neural-networks-based-model","slug":"physics-informed-neural-networks-based-model","title":"Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators","date":"2021-09-22","arxiv_id":"2109.10793","repositories_listed":1,"syntology":null},{"url":"/paper/dpmpc-planner-a-real-time-uav-trajectory","slug":"dpmpc-planner-a-real-time-uav-trajectory","title":"DPMPC-Planner: A real-time UAV trajectory planning framework for complex static environments with dynamic obstacles","date":"2021-09-14","arxiv_id":"2109.07024","repositories_listed":1,"syntology":null},{"url":"/paper/interactive-multi-modal-motion-planning-with","slug":"interactive-multi-modal-motion-planning-with","title":"Interactive multi-modal motion planning with Branch Model Predictive Control","date":"2021-09-10","arxiv_id":"2109.05128","repositories_listed":1,"syntology":null},{"url":"/paper/advances-in-trajectory-optimization-for-space","slug":"advances-in-trajectory-optimization-for-space","title":"Advances in Trajectory Optimization for Space Vehicle Control","date":"2021-08-05","arxiv_id":"2108.02335","repositories_listed":1,"syntology":null},{"url":"/paper/saber-data-driven-motion-planner-for","slug":"saber-data-driven-motion-planner-for","title":"SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots","date":"2021-08-03","arxiv_id":"2108.01262","repositories_listed":1,"syntology":null},{"url":"/paper/optimal-cost-design-for-model-predictive","slug":"optimal-cost-design-for-model-predictive","title":"Optimal Cost Design for Model Predictive Control","date":"2021-04-23","arxiv_id":"2104.11353","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/optimal-cost-design-for-model-predictive#ran","syntology_url":"https://syntology.ai/paper/2104.11353","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.11353"}},"official":{"repos":["avikj/l4dc-mpc-ocd"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/safe-chance-constrained-reinforcement","slug":"safe-chance-constrained-reinforcement","title":"Safe Chance Constrained Reinforcement Learning for Batch Process Control","date":"2021-04-23","arxiv_id":"2104.11706","repositories_listed":1,"syntology":null},{"url":"/paper/models-and-predictive-control-for-nonplanar","slug":"models-and-predictive-control-for-nonplanar","title":"Models and Predictive Control for Nonplanar Vehicle Navigation","date":"2021-04-17","arxiv_id":"2104.08427","repositories_listed":1,"syntology":null},{"url":"/paper/intermittent-non-pharmaceutical-strategies-to","slug":"intermittent-non-pharmaceutical-strategies-to","title":"Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization","date":"2021-03-25","arxiv_id":"2103.16502","repositories_listed":1,"syntology":null},{"url":"/paper/model-predictive-actor-critic-accelerating","slug":"model-predictive-actor-critic-accelerating","title":"Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning","date":"2021-03-25","arxiv_id":"2103.13842","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":2,"n_instrument":2,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/model-predictive-actor-critic-accelerating#ran","syntology_url":"https://syntology.ai/paper/2103.13842","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2103.13842"}},"official":{"repos":["dnandha/mopac"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/robust-data-driven-predictive-control-using","slug":"robust-data-driven-predictive-control-using","title":"Robust Data-Driven Predictive Control using Reachability Analysis","date":"2021-03-25","arxiv_id":"2103.14110","repositories_listed":1,"syntology":null},{"url":"/paper/injecting-knowledge-in-data-driven-vehicle","slug":"injecting-knowledge-in-data-driven-vehicle","title":"Injecting Knowledge in Data-driven Vehicle Trajectory Predictors","date":"2021-03-08","arxiv_id":"2103.04854","repositories_listed":1,"syntology":null},{"url":"/paper/learning-unstable-dynamics-with-one-minute-of","slug":"learning-unstable-dynamics-with-one-minute-of","title":"Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control","date":"2021-03-08","arxiv_id":"2103.04548","repositories_listed":1,"syntology":null},{"url":"/paper/stochastic-model-predictive-control-a","slug":"stochastic-model-predictive-control-a","title":"(Stochastic) Model Predictive Control -- a Simulation Example","date":"2021-01-28","arxiv_id":"2101.12020","repositories_listed":1,"syntology":null},{"url":"/paper/linear-reduced-order-model-predictive-control","slug":"linear-reduced-order-model-predictive-control","title":"Linear Reduced Order Model Predictive Control","date":"2020-12-06","arxiv_id":"2012.03384","repositories_listed":1,"syntology":null},{"url":"/paper/adaptive-charging-networks-a-framework-for","slug":"adaptive-charging-networks-a-framework-for","title":"Adaptive Charging Networks: A Framework for Smart Electric Vehicle Charging","date":"2020-12-04","arxiv_id":"2012.02636","repositories_listed":1,"syntology":null},{"url":"/paper/optimization-of-the-model-predictive-control","slug":"optimization-of-the-model-predictive-control","title":"Optimization of the Model Predictive Control Update Interval Using Reinforcement Learning","date":"2020-11-26","arxiv_id":"2011.13365","repositories_listed":1,"syntology":null},{"url":"/paper/efficient-exploration-for-model-based-1","slug":"efficient-exploration-for-model-based-1","title":"Model-based Reinforcement Learning for Continuous Control with Posterior Sampling","date":"2020-11-20","arxiv_id":"2012.09613","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/efficient-exploration-for-model-based-1#ran","syntology_url":"https://syntology.ai/paper/2012.09613","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2012.09613"}},"official":{"repos":["yingfan-bot/mbpsrl"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/combining-reinforcement-learning-with-model","slug":"combining-reinforcement-learning-with-model","title":"Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging","date":"2020-11-17","arxiv_id":"2011.08484","repositories_listed":1,"syntology":null},{"url":"/paper/tampc-a-controller-for-escaping-traps-in","slug":"tampc-a-controller-for-escaping-traps-in","title":"TAMPC: A Controller for Escaping Traps in Novel Environments","date":"2020-10-23","arxiv_id":"2010.12516","repositories_listed":1,"syntology":null},{"url":"/paper/safe-model-based-reinforcement-learning-with-1","slug":"safe-model-based-reinforcement-learning-with-1","title":"Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method","date":"2020-10-15","arxiv_id":"2010.07968","repositories_listed":1,"syntology":null},{"url":"/paper/mpc-without-the-computational-pain-the","slug":"mpc-without-the-computational-pain-the","title":"Frontiers in Scalable Distributed Control: SLS, MPC, and Beyond","date":"2020-10-03","arxiv_id":"2010.01292","repositories_listed":1,"syntology":null},{"url":"/paper/a-direct-indirect-hybridization-approach-to","slug":"a-direct-indirect-hybridization-approach-to","title":"A Feasibility-Driven Approach to Control-Limited DDP","date":"2020-10-01","arxiv_id":"2010.00411","repositories_listed":1,"syntology":null},{"url":"/paper/continual-model-based-reinforcement-learning","slug":"continual-model-based-reinforcement-learning","title":"Continual Model-Based Reinforcement Learning with Hypernetworks","date":"2020-09-25","arxiv_id":"2009.11997","repositories_listed":1,"syntology":null},{"url":"/paper/learning-high-level-policies-for-model","slug":"learning-high-level-policies-for-model","title":"Learning High-Level Policies for Model Predictive Control","date":"2020-07-20","arxiv_id":"2007.10284","repositories_listed":1,"syntology":null},{"url":"/paper/economic-model-predictive-control-for-snake","slug":"economic-model-predictive-control-for-snake","title":"Economic model predictive control for snake robot locomotion","date":"2020-05-22","arxiv_id":"1909.00795","repositories_listed":1,"syntology":null},{"url":"/paper/model-predictive-control-via-cross-entropy","slug":"model-predictive-control-via-cross-entropy","title":"Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization","date":"2020-04-19","arxiv_id":"2004.08763","repositories_listed":1,"syntology":null},{"url":"/paper/trajectory-optimization-for-nonlinear-multi","slug":"trajectory-optimization-for-nonlinear-multi","title":"Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control","date":"2020-04-02","arxiv_id":"2004.01298","repositories_listed":1,"syntology":null},{"url":"/paper/goal-conditioned-end-to-end-visuomotor","slug":"goal-conditioned-end-to-end-visuomotor","title":"Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives","date":"2020-03-19","arxiv_id":"2003.08854","repositories_listed":1,"syntology":null},{"url":"/paper/mpc-guided-imitation-learning-of-neural","slug":"mpc-guided-imitation-learning-of-neural","title":"MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas","date":"2020-03-03","arxiv_id":"2003.01283","repositories_listed":1,"syntology":null},{"url":"/paper/disco-double-likelihood-free-inference","slug":"disco-double-likelihood-free-inference","title":"DISCO: Double Likelihood-free Inference Stochastic Control","date":"2020-02-18","arxiv_id":"2002.07379","repositories_listed":1,"syntology":null},{"url":"/paper/driving-reinforcement-learning-with-models","slug":"driving-reinforcement-learning-with-models","title":"Driving Reinforcement Learning with Models","date":"2019-11-11","arxiv_id":"1911.04400","repositories_listed":1,"syntology":null},{"url":"/paper/algames-a-fast-solver-for-constrained-dynamic","slug":"algames-a-fast-solver-for-constrained-dynamic","title":"ALGAMES: A Fast Solver for Constrained Dynamic Games","date":"2019-10-22","arxiv_id":"1910.09713","repositories_listed":1,"syntology":null},{"url":"/paper/scoring-aggregating-planning-learning-task","slug":"scoring-aggregating-planning-learning-task","title":"Zero-shot Policy Learning with Spatial Temporal RewardDecomposition on Contingency-aware Observation","date":"2019-10-17","arxiv_id":"1910.08143","repositories_listed":1,"syntology":null},{"url":"/paper/object-centric-forward-modeling-for-model","slug":"object-centric-forward-modeling-for-model","title":"Object-centric Forward Modeling for Model Predictive Control","date":"2019-10-08","arxiv_id":"1910.03568","repositories_listed":1,"syntology":null},{"url":"/paper/look-ahead-scopf-lascopf-for-tracking-demand","slug":"look-ahead-scopf-lascopf-for-tracking-demand","title":"Look-Ahead SCOPF (LASCOPF) for Tracking Demand Variation via Auxiliary Proximal Message Passing (APMP) Algorithm","date":"2019-09-18","arxiv_id":"1909.08461","repositories_listed":1,"syntology":null},{"url":"/paper/cooperation-aware-lane-change-control-in","slug":"cooperation-aware-lane-change-control-in","title":"Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network","date":"2019-09-09","arxiv_id":"1909.05665","repositories_listed":1,"syntology":null},{"url":"/paper/from-perception-to-control-an-autonomous","slug":"from-perception-to-control-an-autonomous","title":"From perception to control: an autonomous driving system for a formula student driverless car","date":"2019-08-31","arxiv_id":"1909.00119","repositories_listed":1,"syntology":null},{"url":"/paper/optimal-storage-arbitrage-under-net-metering","slug":"optimal-storage-arbitrage-under-net-metering","title":"Optimal Storage Arbitrage under Net Metering using Linear Programming","date":"2019-08-15","arxiv_id":"1905.00418","repositories_listed":1,"syntology":null},{"url":"/paper/learning-based-model-predictive-control-for-1","slug":"learning-based-model-predictive-control-for-1","title":"Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning","date":"2019-06-27","arxiv_id":"1906.12189","repositories_listed":1,"syntology":null},{"url":"/paper/exploring-model-based-planning-with-policy","slug":"exploring-model-based-planning-with-policy","title":"Exploring Model-based Planning with Policy Networks","date":"2019-06-20","arxiv_id":"1906.08649","repositories_listed":1,"syntology":null},{"url":"/paper/safe-and-near-optimal-policy-learning-for","slug":"safe-and-near-optimal-policy-learning-for","title":"Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks","date":"2019-06-19","arxiv_id":"1906.08257","repositories_listed":1,"syntology":null},{"url":"/paper/physics-as-inverse-graphics-joint","slug":"physics-as-inverse-graphics-joint","title":"Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video","date":"2019-05-27","arxiv_id":"1905.11169","repositories_listed":1,"syntology":{"n":13,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":7,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 7 unverified","sample_list":"/paper/physics-as-inverse-graphics-joint#ran","syntology_url":"https://syntology.ai/paper/1905.11169","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1905.11169"}},"official":null}},{"url":"/paper/a-neural-network-based-model-predictive","slug":"a-neural-network-based-model-predictive","title":"A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output LC Filter","date":"2019-02-22","arxiv_id":"1902.09964","repositories_listed":1,"syntology":null},{"url":"/paper/data-center-cooling-using-model-predictive","slug":"data-center-cooling-using-model-predictive","title":"Data center cooling using model-predictive control","date":"2018-12-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/reinforcement-learning-and-deep-learning","slug":"reinforcement-learning-and-deep-learning","title":"Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving","date":"2018-10-30","arxiv_id":"1810.12778","repositories_listed":1,"syntology":null},{"url":"/paper/zero-shot-skill-composition-and-simulation-to","slug":"zero-shot-skill-composition-and-simulation-to","title":"Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing","date":"2018-10-04","arxiv_id":"1810.02422","repositories_listed":1,"syntology":null},{"url":"/paper/model-free-adaptive-optimal-control-of","slug":"model-free-adaptive-optimal-control-of","title":"Model-Free Adaptive Optimal Control of Episodic Fixed-Horizon Manufacturing Processes using Reinforcement Learning","date":"2018-09-18","arxiv_id":"1809.06646","repositories_listed":1,"syntology":null},{"url":"/paper/deep-dynamical-modeling-and-control-of","slug":"deep-dynamical-modeling-and-control-of","title":"Deep Dynamical Modeling and Control of Unsteady Fluid Flows","date":"2018-05-18","arxiv_id":"1805.07472","repositories_listed":1,"syntology":null},{"url":"/paper/learning-based-model-predictive-control-for","slug":"learning-based-model-predictive-control-for","title":"Learning-based Model Predictive Control for Safe Exploration","date":"2018-03-22","arxiv_id":"1803.08287","repositories_listed":1,"syntology":{"n":4,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/learning-based-model-predictive-control-for#ran","syntology_url":"https://syntology.ai/paper/1803.08287","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1803.08287"}},"official":null}},{"url":"/paper/discontinuity-sensitive-optimal-control","slug":"discontinuity-sensitive-optimal-control","title":"Discontinuity-Sensitive Optimal Control Learning by Mixture of Experts","date":"2018-03-07","arxiv_id":"1803.02493","repositories_listed":1,"syntology":null},{"url":"/paper/data-efficient-reinforcement-learning-with","slug":"data-efficient-reinforcement-learning-with","title":"Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control","date":"2017-06-20","arxiv_id":"1706.06491","repositories_listed":1,"syntology":null},{"url":"/paper/deep-visual-foresight-for-planning-robot","slug":"deep-visual-foresight-for-planning-robot","title":"Deep Visual Foresight for Planning Robot Motion","date":"2016-10-03","arxiv_id":"1610.00696","repositories_listed":1,"syntology":null},{"url":"/paper/learning-from-the-hindsight-plan-episodic-mpc","slug":"learning-from-the-hindsight-plan-episodic-mpc","title":"Learning from the Hindsight Plan -- Episodic MPC Improvement","date":"2016-09-28","arxiv_id":"1609.09001","repositories_listed":1,"syntology":null},{"url":null,"slug":"a-risk-aware-adaptive-robust-mpc-with-learned","title":"A Risk-Aware Adaptive Robust MPC with Learned Uncertainty Quantification","date":"2025-07-15","arxiv_id":"2507.11420","repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-reinforcement-learning-by-planning","title":"Continual Reinforcement Learning by Planning with Online World Models","date":"2025-07-12","arxiv_id":"2507.09177","repositories_listed":0,"syntology":null},{"url":null,"slug":"coordinated-control-of-autonomous-vehicles","title":"Coordinated Control of Autonomous Vehicles for Traffic Density Reduction at a Signalized Junction: An MPC Approach","date":"2025-06-26","arxiv_id":"2506.21302","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-solve-parametric-mixed-integer","title":"Learning to Solve Parametric Mixed-Integer Optimal Control Problems via Differentiable Predictive Control","date":"2025-06-24","arxiv_id":"2506.19646","repositories_listed":0,"syntology":null},{"url":null,"slug":"agenticcontrol-an-automated-control-design","title":"AgenticControl: An Automated Control Design Framework Using Large Language Models","date":"2025-06-23","arxiv_id":"2506.19160","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-hybrid-modeling-incremental","title":"Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control","date":"2025-06-23","arxiv_id":"2506.18344","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-design-of-experiment-for","title":"Optimal Design of Experiment for Electrochemical Parameter Identification of Li-ion Battery via Deep Reinforcement Learning","date":"2025-06-23","arxiv_id":"2506.19146","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-scenario-based-model-predictive-control","title":"A Scenario-based Model Predictive Control Scheme for Pandemic Response through Non-pharmaceutical Interventions","date":"2025-06-22","arxiv_id":"2506.17972","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-tutorial-overview-of-model-predictive","title":"A tutorial overview of model predictive control for continuous crystallization: current possibilities and future perspectives","date":"2025-06-20","arxiv_id":"2506.17146","repositories_listed":0,"syntology":null},{"url":null,"slug":"reimagination-with-test-time-observation","title":"Reimagination with Test-time Observation Interventions: Distractor-Robust World Model Predictions for Visual Model Predictive Control","date":"2025-06-19","arxiv_id":"2506.16565","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-aware-deep-lagrangian-networks-for","title":"Context-Aware Deep Lagrangian Networks for Model Predictive Control","date":"2025-06-18","arxiv_id":"2506.15249","repositories_listed":0,"syntology":null},{"url":null,"slug":"microgrid-operation-control-with-adaptable","title":"Microgrid Operation Control with Adaptable Droop Gains","date":"2025-06-18","arxiv_id":"2506.15192","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-predictive-path-following-control-for-a","title":"Model Predictive Path-Following Control for a Quadrotor","date":"2025-06-18","arxiv_id":"2506.15447","repositories_listed":0,"syntology":null},{"url":null,"slug":"parallel-branch-model-predictive-control-on","title":"Parallel Branch Model Predictive Control on GPUs","date":"2025-06-16","arxiv_id":"2506.13624","repositories_listed":0,"syntology":null},{"url":null,"slug":"rl-guided-mpc-for-autonomous-greenhouse","title":"RL-Guided MPC for Autonomous Greenhouse Control","date":"2025-06-16","arxiv_id":"2506.13278","repositories_listed":0,"syntology":null},{"url":null,"slug":"transient-performance-of-mpc-for-tracking-1","title":"Transient performance of MPC for tracking without terminal constraints","date":"2025-06-12","arxiv_id":"2506.10589","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-predictive-control-based-optimal-energy","title":"Model Predictive Control-Based Optimal Energy Management of Autonomous Electric Vehicles Under Cold Temperatures","date":"2025-06-11","arxiv_id":"2506.10221","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-learning-control-strategies-for","title":"Online Learning Control Strategies for Industrial Processes with Application for Loosening and Conditioning","date":"2025-06-10","arxiv_id":"2506.08983","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-operating-strategy-for-pv-bess","title":"Optimal Operating Strategy for PV-BESS Households: Balancing Self-Consumption and Self-Sufficiency","date":"2025-06-10","arxiv_id":"2506.17268","repositories_listed":0,"syntology":null},{"url":null,"slug":"autonomous-vehicle-lateral-control-using-deep","title":"Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration","date":"2025-06-04","arxiv_id":"2506.04040","repositories_listed":0,"syntology":null},{"url":null,"slug":"update-aware-robust-optimal-model-predictive","title":"Update-Aware Robust Optimal Model Predictive Control for Nonlinear Systems","date":"2025-06-02","arxiv_id":"2506.01729","repositories_listed":0,"syntology":null},{"url":null,"slug":"hmpc-assisted-adversarial-inverse","title":"HMPC-assisted Adversarial Inverse Reinforcement Learning for Smart Home Energy Management","date":"2025-06-01","arxiv_id":"2506.00898","repositories_listed":0,"syntology":null},{"url":null,"slug":"system-identification-for-virtual-sensor","title":"System Identification for Virtual Sensor-Based Model Predictive Control: Application to a 2-DoF Direct-Drive Robotic Arm","date":"2025-05-29","arxiv_id":"2505.23138","repositories_listed":0,"syntology":null},{"url":null,"slug":"physics-informed-neural-network-for-cross","title":"Physics-Informed Neural Network for Cross-Domain Predictive Control of Tapered Amplifier Thermal Stabilization","date":"2025-05-27","arxiv_id":"2505.20769","repositories_listed":0,"syntology":null},{"url":null,"slug":"algorithmic-control-improves-residential","title":"Algorithmic Control Improves Residential Building Energy and EV Management when PV Capacity is High but Battery Capacity is Low","date":"2025-05-26","arxiv_id":"2505.20377","repositories_listed":0,"syntology":null},{"url":null,"slug":"sampled-data-systems-stability-contractivity","title":"Sampled-data Systems: Stability, Contractivity and Single-iteration Suboptimal MPC","date":"2025-05-23","arxiv_id":"2505.18336","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaze-into-the-abyss-planning-to-seek-entropy","title":"Gaze Into the Abyss -- Planning to Seek Entropy When Reward is Scarce","date":"2025-05-22","arxiv_id":"2505.16787","repositories_listed":0,"syntology":null},{"url":null,"slug":"regularized-model-predictive-control","title":"Regularized Model Predictive Control","date":"2025-05-19","arxiv_id":"2505.12977","repositories_listed":0,"syntology":null},{"url":null,"slug":"2505-10843","title":"Comparative Analysis of Black-Box Optimization Methods for Weather Intervention Design","date":"2025-05-16","arxiv_id":"2505.10843","repositories_listed":0,"syntology":null},{"url":null,"slug":"control-invariant-sets-for-neural-network","title":"Control Invariant Sets for Neural Network Dynamical Systems and Recursive Feasibility in Model Predictive Control","date":"2025-05-15","arxiv_id":"2505.11546","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-assisted-model-predictive-control","title":"Diffusion-assisted Model Predictive Control Optimization for Power System Real-Time Operation","date":"2025-05-13","arxiv_id":"2505.08535","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-koopman-theory-and-lyapunov","title":"Integrating Koopman theory and Lyapunov stability for enhanced model predictive control in nonlinear systems","date":"2025-05-13","arxiv_id":"2505.08139","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrated-localization-and-path-planning-for","title":"Integrated Localization and Path Planning for an Ocean Exploring Team of Autonomous Underwater Vehicles with Consensus Graph Model Predictive Control","date":"2025-05-12","arxiv_id":"2505.07484","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-reinforcement-learning-and-koopman","title":"Leveraging Reinforcement Learning and Koopman Theory for Enhanced Model Predictive Control Performance","date":"2025-05-12","arxiv_id":"2505.08122","repositories_listed":0,"syntology":null},{"url":null,"slug":"nonlinear-model-predictive-control-for-7","title":"Nonlinear Model Predictive Control for Leaderless UAV Formation Flying with Collision Avoidance under Directed Graphs","date":"2025-05-11","arxiv_id":"2505.06895","repositories_listed":0,"syntology":null},{"url":null,"slug":"yanns-y-wise-affine-neural-networks-for-exact","title":"YANNs: Y-wise Affine Neural Networks for Exact and Efficient Representations of Piecewise Linear Functions","date":"2025-05-11","arxiv_id":"2505.07054","repositories_listed":0,"syntology":null},{"url":null,"slug":"priority-driven-safe-model-predictive-control","title":"Priority-Driven Safe Model Predictive Control Approach to Autonomous Driving Applications","date":"2025-05-09","arxiv_id":"2505.05933","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-economic-model-predictive-control","title":"Learning Economic Model Predictive Control via Clustering and Kernel-Based Lipschitz Regression","date":"2025-05-08","arxiv_id":"2505.04904","repositories_listed":0,"syntology":null},{"url":null,"slug":"predictive-control-of-ev-overnight-charging","title":"Predictive Control of EV Overnight Charging with Multi-Session Flexibility","date":"2025-05-08","arxiv_id":"2505.05087","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-predictive-fuzzy-control-a-hierarchical","title":"Model Predictive Fuzzy Control: A Hierarchical Multi-Agent Control Architecture for Outdoor Search-and-Rescue Robots","date":"2025-05-06","arxiv_id":"2505.03257","repositories_listed":0,"syntology":null}],"record_sha256":"60001925fad1e71df123cfd781aa4948de940d1387d4651c82a30c1647d02204","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}