Model Predictive Control

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 260 papers with code (1,582 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
  8 Aug 2017 9 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Model-free deep reinforcement learning algorithms have been shown to be capable of learning a wide range of robotic skills, but typically require a very large number of samples to achieve good performance.
• Neural Potential Field for Obstacle-Aware Local Motion Planning
  25 Oct 2023 3 repositories listed
  Experiment on Husky UGV mobile robot showed that our approach allows real-time and safe local planning.
• Trust-aware Safe Control for Autonomous Navigation: Estimation of System-to-human Trust for Trust-adaptive Control Barrier Functions
  24 Jul 2023 3 repositories listed
  A trust-aware safe control system for autonomous navigation in the presence of humans, specifically pedestrians, is presented.
• Multi-Period Trading via Convex Optimization
  29 Apr 2017 3 repositories listed
  The methods we describe in this paper can be thought of as good ways to exploit predictions, no matter how they are made.
• Bootstrapped Model Predictive Control
  24 Mar 2025 2 repositories listed
  In this work, we introduce Bootstrapped Model Predictive Control (BMPC), a novel algorithm that performs policy learning in a bootstrapped manner.
• Performance-driven Constrained Optimal Auto-Tuner for MPC
  10 Mar 2025 2 repositories listed
  A key challenge in tuning Model Predictive Control (MPC) cost function parameters is to ensure that the system performance stays consistently above a certain threshold.
• Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
  19 Sep 2024 2 repositories listed
  For model-based control approaches such as MPC, this can degrade performance and lead to constraint violations.
• A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive Control
  20 May 2024 2 repositories listed
  By leveraging advanced optimization techniques, MPC algorithms can anticipate future grid conditions and dynamically adjust EV charging and discharging schedules to balance supply and demand while minimizing operational…
• Convex Hulls of Reachable Sets
  30 Mar 2023 2 repositories listed
  We study the convex hulls of reachable sets of nonlinear systems with bounded disturbances and uncertain initial conditions.
• Neural Laplace Control for Continuous-time Delayed Systems
  24 Feb 2023 2 repositories listed Syntology ran 5 of 17 samples · 12 unverified
  Many real-world offline reinforcement learning (RL) problems involve continuous-time environments with delays.
• Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking
  7 Jun 2022 2 repositories listed
  In this paper, we present a novel Physics-Inspired Temporal Convolutional Network (PI-TCN) approach to learning quadrotor's system dynamics purely from robot experience.
• Robust Model Predictive Control with Polytopic Model Uncertainty through System Level Synthesis
  21 Mar 2022 2 repositories listed
  However, it is challenging to design LTV state feedback controllers in the face of model uncertainty whose effects are difficult to bound.
• Real-time Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
  15 Mar 2022 2 repositories listed Syntology ran 1 of 6 samples · 5 unverified · 2 pointer-only (licence)
  Our experiments, performed in simulation and the real world onboard a highly agile quadrotor platform, demonstrate the capabilities of the described system to run learned models with, previously infeasible, large…
• Temporal Difference Learning for Model Predictive Control
  9 Mar 2022 2 repositories listed
  Data-driven model predictive control has two key advantages over model-free methods: a potential for improved sample efficiency through model learning, and better performance as computational budget for planning…
• Active Uncertainty Reduction for Human-Robot Interaction: An Implicit Dual Control Approach
  15 Feb 2022 2 repositories listed
  The ability to accurately predict human behavior is central to the safety and efficiency of robot autonomy in interactive settings.
• Data-driven Distributed and Localized Model Predictive Control
  22 Dec 2021 2 repositories listed
  By imposing locality constraints on the system response, we show that the amount of data needed for our synthesis problem is independent of the size of the global system.
• Enhancing Feasibility and Safety of Nonlinear Model Predictive Control with Discrete-Time Control Barrier Functions
  21 May 2021 2 repositories listed
  In the existing approaches, the feasibility of the optimization and the system safety cannot be enhanced at the same time theoretically.
• The Value of Planning for Infinite-Horizon Model Predictive Control
  7 Apr 2021 2 repositories listed
  We show that that this value function can be used by MPC directly, resulting in more efficient and resilient behavior at runtime.
• Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems
  14 Mar 2021 2 repositories listed
  In this work, we introduce Gym-ANM, a framework for designing reinforcement learning (RL) environments that model ANM tasks in electricity distribution networks.
• Learning 3D Dynamic Scene Representations for Robot Manipulation
  3 Nov 2020 2 repositories listed
  3D scene representation for robot manipulation should capture three key object properties: permanency -- objects that become occluded over time continue to exist; amodal completeness -- objects have 3D occupancy, even…
• Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function
  22 Jul 2020 2 repositories listed Syntology ran 0 of 15 samples · 15 unverified
  In order to obtain safe optimal performance in the context of set invariance, we present a safety-critical model predictive control strategy utilizing discrete-time control barrier functions (CBFs), which guarantees…
• Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning
  27 Apr 2020 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  Can we instead develop efficient reinforcement learning methods that acquire diverse skills without any reward function, and then repurpose these skills for downstream tasks?
• Learning Constrained Adaptive Differentiable Predictive Control Policies With Guarantees
  23 Apr 2020 2 repositories listed
  We present differentiable predictive control (DPC), a method for learning constrained neural control policies for linear systems with probabilistic performance guarantees.
• Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control
  21 Oct 2019 2 repositories listed
  An intelligent controller example based on the deep deterministic policy gradient algorithm which controls a series DC motor is presented and compared to a cascaded PI-controller as a baseline for future research.
• Deep Dynamics Models for Learning Dexterous Manipulation
  25 Sep 2019 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Dexterous multi-fingered hands can provide robots with the ability to flexibly perform a wide range of manipulation skills.
• Driving in Dense Traffic with Model-Free Reinforcement Learning
  15 Sep 2019 2 repositories listed
  Traditional planning and control methods could fail to find a feasible trajectory for an autonomous vehicle to execute amongst dense traffic on roads.
• Interactive Differentiable Simulation
  26 May 2019 2 repositories listed
  While learning-based models of the environment dynamics have contributed to significant improvements in sample efficiency compared to model-free reinforcement learning algorithms, they typically fail to generalize to…
• Differentiable MPC for End-to-end Planning and Control
  31 Oct 2018 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  We present foundations for using Model Predictive Control (MPC) as a differentiable policy class for reinforcement learning in continuous state and action spaces.
• Learning, Planning, and Control in a Monolithic Neural Event Inference Architecture
  19 Sep 2018 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  We introduce REPRISE, a REtrospective and PRospective Inference SchEme, which learns temporal event-predictive models of dynamical systems.
• Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems
  3 Aug 2018 2 repositories listed
  In this work we propose a deep learning-based strategy for nonlinear model reduction that is inspired by projection-based model reduction where the idea is to identify some optimal low-dimensional representation and…

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.