{"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/decision-making/papers/64","list_of":"/task/decision-making","task":"Decision Making","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":64,"pages_in_order":124,"rows_per_page":100,"rows":[6301,6400],"of":12311,"counts":{"archive_papers_tagged":12311,"with_a_code_link":2946,"where_syntology_ran_a_sample":678,"not_listed_spam_title":0,"listed":12311,"listed_where_code_ran":678,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":560,"every_run_a_failure_of_syntologys_instrument":118,"listed_with_a_run_with_no_instrument_failure":560,"listed_every_run_a_failure_of_syntologys_instrument":118,"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/decision-making","prev":"/task/decision-making/papers/63","next":"/task/decision-making/papers/65","papers":[{"url":null,"slug":"alpha-elimination-using-deep-reinforcement","title":"Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In during Sparse Matrix Decomposition","date":"2023-10-15","arxiv_id":"2310.09852","repositories_listed":0,"syntology":null},{"url":null,"slug":"economics-unchained-investigating-the-role-of","title":"Economics unchained: Investigating the role of cryptocurrency, blockchain and intricacies of Bitcoin price fluctuations","date":"2023-10-15","arxiv_id":"2310.09745","repositories_listed":0,"syntology":null},{"url":null,"slug":"xrmdn-a-recurrent-mixture-density-networks","title":"XRMDN: An Extended Recurrent Mixture Density Network for Short-Term Probabilistic Rider Demand Forecasting with High Volatility","date":"2023-10-15","arxiv_id":"2310.09847","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-framework-for-empowering-reinforcement","title":"A Framework for Empowering Reinforcement Learning Agents with Causal Analysis: Enhancing Automated Cryptocurrency Trading","date":"2023-10-14","arxiv_id":"2310.09462","repositories_listed":0,"syntology":null},{"url":null,"slug":"autonomous-tree-search-ability-of-large","title":"Autonomous Tree-search Ability of Large Language Models","date":"2023-10-14","arxiv_id":"2310.10686","repositories_listed":0,"syntology":null},{"url":null,"slug":"agentcf-collaborative-learning-with","title":"AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems","date":"2023-10-13","arxiv_id":"2310.09233","repositories_listed":0,"syntology":null},{"url":null,"slug":"augmented-computational-design-methodical","title":"Augmented Computational Design: Methodical Application of Artificial Intelligence in Generative Design","date":"2023-10-13","arxiv_id":"2310.09243","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-apple-maturity-and-damage","title":"Efficient Apple Maturity and Damage Assessment: A Lightweight Detection Model with GAN and Attention Mechanism","date":"2023-10-13","arxiv_id":"2310.09347","repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-efficient-learning-of-bayesian-networks","title":"Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and Causality","date":"2023-10-13","arxiv_id":"2310.09222","repositories_listed":0,"syntology":null},{"url":null,"slug":"llama-rider-spurring-large-language-models-to","title":"LLaMA Rider: Spurring Large Language Models to Explore the Open World","date":"2023-10-13","arxiv_id":"2310.08922","repositories_listed":0,"syntology":null},{"url":null,"slug":"path-to-gain-functional-transparency-in","title":"Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability","date":"2023-10-13","arxiv_id":"2310.08849","repositories_listed":0,"syntology":null},{"url":null,"slug":"progressively-efficient-learning","title":"Progressively Efficient Learning","date":"2023-10-13","arxiv_id":"2310.13004","repositories_listed":0,"syntology":null},{"url":null,"slug":"when-are-bandits-robust-to-misspecification","title":"Bad Values but Good Behavior: Learning Highly Misspecified Bandits and MDPs","date":"2023-10-13","arxiv_id":"2310.09358","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-simple-way-to-incorporate-novelty-detection","title":"Novelty Detection in Reinforcement Learning with World Models","date":"2023-10-12","arxiv_id":"2310.08731","repositories_listed":0,"syntology":null},{"url":null,"slug":"examining-the-potential-and-pitfalls-of","title":"Examining the Potential and Pitfalls of ChatGPT in Science and Engineering Problem-Solving","date":"2023-10-12","arxiv_id":"2310.08773","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-large-language-models-to-knowledge","title":"From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer","date":"2023-10-12","arxiv_id":"2310.08365","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-intrinsic-optimization-intrisic","title":"Generative Intrinsic Optimization: Intrinsic Control with Model Learning","date":"2023-10-12","arxiv_id":"2310.08100","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-does-artificial-intelligence-improve","title":"How Does Artificial Intelligence Improve Human Decision-Making? Evidence from the AI-Powered Go Program","date":"2023-10-12","arxiv_id":"2310.08704","repositories_listed":0,"syntology":null},{"url":null,"slug":"if-our-aim-is-to-build-morality-into-an","title":"If our aim is to build morality into an artificial agent, how might we begin to go about doing so?","date":"2023-10-12","arxiv_id":"2310.08295","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-transferable-conceptual-prototypes","title":"Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation","date":"2023-10-12","arxiv_id":"2310.08071","repositories_listed":0,"syntology":null},{"url":null,"slug":"question-answering-for-electronic-health","title":"Question Answering for Electronic Health Records: A Scoping Review of datasets and models","date":"2023-10-12","arxiv_id":"2310.08759","repositories_listed":0,"syntology":null},{"url":null,"slug":"receive-reason-and-react-drive-as-you-say","title":"Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles","date":"2023-10-12","arxiv_id":"2310.08034","repositories_listed":0,"syntology":null},{"url":null,"slug":"risk-informed-resilience-planning-of","title":"Risk-informed Resilience Planning of Transmission Systems Against Ice Storms","date":"2023-10-12","arxiv_id":"2310.08445","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-impact-of-explanations-on-fairness-in","title":"The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features","date":"2023-10-12","arxiv_id":"2310.08617","repositories_listed":0,"syntology":null},{"url":null,"slug":"tightening-bounds-on-probabilities-of","title":"Tightening Bounds on Probabilities of Causation By Merging Datasets","date":"2023-10-12","arxiv_id":"2310.08406","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-running-time-analysis-of-interactive","title":"Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms","date":"2023-10-12","arxiv_id":"2310.08384","repositories_listed":0,"syntology":null},{"url":null,"slug":"tree-planner-efficient-close-loop-task","title":"Tree-Planner: Efficient Close-loop Task Planning with Large Language Models","date":"2023-10-12","arxiv_id":"2310.08582","repositories_listed":0,"syntology":null},{"url":null,"slug":"xai-benchmark-for-visual-explanation","title":"XAI Benchmark for Visual Explanation","date":"2023-10-12","arxiv_id":"2310.08537","repositories_listed":0,"syntology":null},{"url":null,"slug":"accountability-in-offline-reinforcement","title":"Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples","date":"2023-10-11","arxiv_id":"2310.07747","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextualized-policy-recovery-modeling-and","title":"Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning","date":"2023-10-11","arxiv_id":"2310.07918","repositories_listed":0,"syntology":null},{"url":null,"slug":"decentralization-of-energy-systems-with","title":"Decentralization of Energy Systems with Blockchain: Bridging Top-down and Bottom-up Management of the Electricity Grid","date":"2023-10-11","arxiv_id":"2310.07103","repositories_listed":0,"syntology":null},{"url":null,"slug":"democratizing-llms-an-exploration-of-cost","title":"Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models","date":"2023-10-11","arxiv_id":"2310.07611","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-centered-evaluation-of-xai-methods","title":"Human-Centered Evaluation of XAI Methods","date":"2023-10-11","arxiv_id":"2310.07534","repositories_listed":0,"syntology":null},{"url":null,"slug":"interaction-aware-traffic-prediction-and","title":"Interaction-aware Traffic Prediction and Scenario-based Model Predictive Control for Autonomous Vehicles on Highways","date":"2023-10-11","arxiv_id":"2310.07526","repositories_listed":0,"syntology":null},{"url":null,"slug":"prospective-side-information-for-latent-mdps","title":"Prospective Side Information for Latent MDPs","date":"2023-10-11","arxiv_id":"2310.07596","repositories_listed":0,"syntology":null},{"url":null,"slug":"surrocbm-concept-bottleneck-surrogate-models","title":"SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation","date":"2023-10-11","arxiv_id":"2310.07698","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-masked-image-inpainting-for","title":"Adversarial Masked Image Inpainting for Robust Detection of Mpox and Non-Mpox","date":"2023-10-10","arxiv_id":"2310.06318","repositories_listed":0,"syntology":null},{"url":null,"slug":"dobby-a-conversational-service-robot-driven","title":"Dobby: A Conversational Service Robot Driven by GPT-4","date":"2023-10-10","arxiv_id":"2310.06303","repositories_listed":0,"syntology":null},{"url":null,"slug":"ensemble-active-learning-by-contextual","title":"Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing","date":"2023-10-10","arxiv_id":"2310.06306","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-explanation-methods-for-vision-and","title":"Evaluating Explanation Methods for Vision-and-Language Navigation","date":"2023-10-10","arxiv_id":"2310.06654","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-review-of-the-ethics-of-artificial","title":"A Review of the Ethics of Artificial Intelligence and its Applications in the United States","date":"2023-10-09","arxiv_id":"2310.05751","repositories_listed":0,"syntology":null},{"url":null,"slug":"analysis-of-rainfall-variability-and-water","title":"Analysis of Rainfall Variability and Water Extent of Selected Hydropower Reservoir Using Google Earth Engine (GEE): A Case Study from Two Tropical Countries, Sri Lanka and Vietnam","date":"2023-10-09","arxiv_id":"2310.05682","repositories_listed":0,"syntology":null},{"url":null,"slug":"ethics-of-artificial-intelligence-and","title":"Ethics of Artificial Intelligence and Robotics in the Architecture, Engineering, and Construction Industry","date":"2023-10-09","arxiv_id":"2310.05414","repositories_listed":0,"syntology":null},{"url":null,"slug":"fair-classifiers-that-abstain-without-harm","title":"Fair Classifiers that Abstain without Harm","date":"2023-10-09","arxiv_id":"2310.06205","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-prediction-modelers-and-decision-makers","title":"On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model","date":"2023-10-09","arxiv_id":"2310.05598","repositories_listed":0,"syntology":null},{"url":null,"slug":"pain-forecasting-using-self-supervised","title":"Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction","date":"2023-10-09","arxiv_id":"2310.06075","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantifying-uncertainty-in-deep-learning-1","title":"Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making","date":"2023-10-09","arxiv_id":"2310.06105","repositories_listed":0,"syntology":null},{"url":null,"slug":"tail-task-specific-adapters-for-imitation","title":"TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models","date":"2023-10-09","arxiv_id":"2310.05905","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-economic-and-financial-theory-of-money","title":"A new economic and financial theory of money","date":"2023-10-08","arxiv_id":"2310.04986","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatradio-valuer-a-chat-large-language-model","title":"ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data","date":"2023-10-08","arxiv_id":"2310.05242","repositories_listed":0,"syntology":null},{"url":null,"slug":"global-convergence-of-policy-gradient-methods-4","title":"Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control","date":"2023-10-08","arxiv_id":"2310.05230","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-in-the-loop-the-future-of-machine","title":"Human-in-the-loop: The future of Machine Learning in Automated Electron Microscopy","date":"2023-10-08","arxiv_id":"2310.05018","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-motor-control-in-continuous-time","title":"Modeling motor control in continuous-time Active Inference: a survey","date":"2023-10-08","arxiv_id":"2310.05144","repositories_listed":0,"syntology":null},{"url":null,"slug":"critique-ability-of-large-language-models","title":"Critique Ability of Large Language Models","date":"2023-10-07","arxiv_id":"2310.04815","repositories_listed":0,"syntology":null},{"url":null,"slug":"digital-twin-assisted-deep-reinforcement","title":"Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network","date":"2023-10-07","arxiv_id":"2310.09299","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-the-influence-of-legal-case","title":"Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process","date":"2023-10-07","arxiv_id":"2310.04735","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-sequential-decision-making-in","title":"Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach","date":"2023-10-07","arxiv_id":"2310.04772","repositories_listed":0,"syntology":null},{"url":null,"slug":"question-focused-summarization-by-decomposing","title":"Question-focused Summarization by Decomposing Articles into Facts and Opinions and Retrieving Entities","date":"2023-10-07","arxiv_id":"2310.04880","repositories_listed":0,"syntology":null},{"url":null,"slug":"amortized-network-intervention-to-steer-the","title":"Amortized Network Intervention to Steer the Excitatory Point Processes","date":"2023-10-06","arxiv_id":"2310.04159","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-learning-in-robotics-a-survey","title":"Graph learning in robotics: a survey","date":"2023-10-06","arxiv_id":"2310.04294","repositories_listed":0,"syntology":null},{"url":null,"slug":"policy-gradient-training-of-language-models","title":"Policy-Gradient Training of Language Models for Ranking","date":"2023-10-06","arxiv_id":"2310.04407","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparing-time-series-analysis-approaches","title":"Comparing Time-Series Analysis Approaches Utilized in Research Papers to Forecast COVID-19 Cases in Africa: A Literature Review","date":"2023-10-05","arxiv_id":"2310.03606","repositories_listed":0,"syntology":null},{"url":null,"slug":"interpreting-the-value-of-flexibility-in-ac","title":"Interpreting the Value of Flexibility in AC Security-Constrained Transmission Expansion Planning via a Cooperative Game Framework","date":"2023-10-05","arxiv_id":"2310.03610","repositories_listed":0,"syntology":null},{"url":null,"slug":"unpacking-human-ai-interaction-in-safety","title":"Unpacking Human-AI Interaction in Safety-Critical Industries: A Systematic Literature Review","date":"2023-10-05","arxiv_id":"2310.03392","repositories_listed":0,"syntology":null},{"url":null,"slug":"v2x-cooperative-perception-for-autonomous","title":"V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges","date":"2023-10-05","arxiv_id":"2310.03525","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-modelops-based-framework-for-intelligent","title":"A ModelOps-based Framework for Intelligent Medical Knowledge Extraction","date":"2023-10-04","arxiv_id":"2310.02593","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-stationarity-convergence-analysis-of","title":"Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods","date":"2023-10-04","arxiv_id":"2310.02671","repositories_listed":0,"syntology":null},{"url":null,"slug":"decision-convformer-local-filtering-in","title":"Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making","date":"2023-10-04","arxiv_id":"2310.03022","repositories_listed":0,"syntology":null},{"url":null,"slug":"eluquant-event-level-uncertainty","title":"ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering","date":"2023-10-04","arxiv_id":"2310.02913","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-and-improving-value-judgments-in","title":"Evaluating and Improving Value Judgments in AI: A Scenario-Based Study on Large Language Models' Depiction of Social Conventions","date":"2023-10-04","arxiv_id":"2311.09230","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-impact-of-disrupted-peer-to","title":"Exploring the Impact of Disrupted Peer-to-Peer Communications on Fully Decentralized Learning in Disaster Scenarios","date":"2023-10-04","arxiv_id":"2310.02986","repositories_listed":0,"syntology":null},{"url":null,"slug":"languagempc-large-language-models-as-decision","title":"LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving","date":"2023-10-04","arxiv_id":"2310.03026","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-quantified-observability-analysis-in","title":"On Quantified Observability Analysis in Multiagent Systems","date":"2023-10-04","arxiv_id":"2310.02614","repositories_listed":0,"syntology":null},{"url":null,"slug":"stable-and-interpretable-deep-learning-for","title":"Stable and Interpretable Deep Learning for Tabular Data: Introducing InterpreTabNet with the Novel InterpreStability Metric","date":"2023-10-04","arxiv_id":"2310.02870","repositories_listed":0,"syntology":null},{"url":null,"slug":"1d-capsnet-lstm-a-deep-learning-based-model","title":"1D-CapsNet-LSTM: A Deep Learning-Based Model for Multi-Step Stock Index Forecasting","date":"2023-10-03","arxiv_id":"2310.02090","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-integer-clustering-approach-for-modeling","title":"An Integer Clustering Approach for Modeling Large-Scale EV Fleets with Guaranteed Performance","date":"2023-10-03","arxiv_id":"2310.02208","repositories_listed":0,"syntology":null},{"url":null,"slug":"between-accurate-prediction-and-poor-decision","title":"Between accurate prediction and poor decision making: the AI/ML gap","date":"2023-10-03","arxiv_id":"2310.02029","repositories_listed":0,"syntology":null},{"url":null,"slug":"corec-cri-how-collaborative-and-social","title":"CORec-Cri: How collaborative and social technologies can help to contextualize crises?","date":"2023-10-03","arxiv_id":"2310.02143","repositories_listed":0,"syntology":null},{"url":null,"slug":"deciphering-diagnoses-how-large-language","title":"Deciphering Diagnoses: How Large Language Models Explanations Influence Clinical Decision Making","date":"2023-10-03","arxiv_id":"2310.01708","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-concept-discovery-models-a","title":"Coarse-to-Fine Concept Bottleneck Models","date":"2023-10-03","arxiv_id":"2310.02116","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-pomdp-planning-with-anytime","title":"Online POMDP Planning with Anytime Deterministic Optimality Guarantees","date":"2023-10-03","arxiv_id":"2310.01791","repositories_listed":0,"syntology":null},{"url":null,"slug":"rollout-heuristics-for-online-stochastic","title":"Rollout Heuristics for Online Stochastic Contingent Planning","date":"2023-10-03","arxiv_id":"2310.02345","repositories_listed":0,"syntology":null},{"url":null,"slug":"selenite-scaffolding-decision-making-with","title":"Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models","date":"2023-10-03","arxiv_id":"2310.02161","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-unified-framework-for-sequential","title":"Towards a Unified Framework for Sequential Decision Making","date":"2023-10-03","arxiv_id":"2310.02167","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-effective-human-ai-decision-making","title":"Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice","date":"2023-10-03","arxiv_id":"2310.02108","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-contextual-bandits-go-kernelized","title":"Adversarial Contextual Bandits Go Kernelized","date":"2023-10-02","arxiv_id":"2310.01609","repositories_listed":0,"syntology":null},{"url":null,"slug":"choicemates-supporting-unfamiliar-online","title":"ChoiceMates: Supporting Unfamiliar Online Decision-Making with Multi-Agent Conversational Interactions","date":"2023-10-02","arxiv_id":"2310.01331","repositories_listed":0,"syntology":null},{"url":null,"slug":"codbench-a-critical-evaluation-of-data-driven","title":"CoDBench: A Critical Evaluation of Data-driven Models for Continuous Dynamical Systems","date":"2023-10-02","arxiv_id":"2310.01650","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-spatio-temporal-summarization-using","title":"Dynamic Spatio-Temporal Summarization using Information Based Fusion","date":"2023-10-02","arxiv_id":"2310.01617","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-masked-autoencoding-for-reducing","title":"Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data","date":"2023-10-02","arxiv_id":"2310.00826","repositories_listed":0,"syntology":null},{"url":null,"slug":"prescribed-fire-modeling-using-knowledge","title":"Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management","date":"2023-10-02","arxiv_id":"2310.01593","repositories_listed":0,"syntology":null},{"url":null,"slug":"adapting-llm-agents-through-communication","title":"Adapting LLM Agents with Universal Feedback in Communication","date":"2023-10-01","arxiv_id":"2310.01444","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-bandits-model-to-deep-deterministic","title":"From Bandits Model to Deep Deterministic Policy Gradient, Reinforcement Learning with Contextual Information","date":"2023-10-01","arxiv_id":"2310.00642","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-make-adherence-aware-advice","title":"Learning to Make Adherence-Aware Advice","date":"2023-10-01","arxiv_id":"2310.00817","repositories_listed":0,"syntology":null},{"url":null,"slug":"logical-bias-learning-for-object-relation","title":"Logical Bias Learning for Object Relation Prediction","date":"2023-10-01","arxiv_id":"2310.00712","repositories_listed":0,"syntology":null},{"url":null,"slug":"physics-informed-graph-neural-network-for-1","title":"Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems","date":"2023-10-01","arxiv_id":"2310.00728","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantum-based-feature-selection-for-multi","title":"Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing","date":"2023-10-01","arxiv_id":"2310.01443","repositories_listed":0,"syntology":null},{"url":null,"slug":"review-on-decarbonizing-the-transportation","title":"Review on Decarbonizing the Transportation Sector in China: Overview, Analysis, and Perspectives","date":"2023-10-01","arxiv_id":"2310.00613","repositories_listed":0,"syntology":null},{"url":null,"slug":"segmentation-based-assessment-of-tumor-vessel","title":"Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma","date":"2023-10-01","arxiv_id":"2310.00639","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-dag-discovery-for-interpretable","title":"Interpretable Imitation Learning with Dynamic Causal Relations","date":"2023-09-30","arxiv_id":"2310.00489","repositories_listed":0,"syntology":null}],"record_sha256":"c8499ed5d3971a294ff14d51e3df105c89241ac60326b0e59f0d65eb841a873e","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}