Reinforcement Learning

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept AAAI 2023 A Fair Incentive Scheme for Community Health Workers AAAI 2023 Affordances From Human Videos as a Versatile Representation for Robotics CVPR 2023 A finite-sample analysis of multi-step temporal difference estimates L4DC 2023 A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games NeurIPS 2023 A Finite Sample Complexity Bound for Distributionally Robust Q-learning AISTATS 2023 A Game of Bundle Adjustment - Learning Efficient Convergence ICCV 2023 A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning ICLR 2023 A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning JMLR 2023 Agile Catching with Whole-Body MPC and Blackbox Policy Learning L4DC 2023 A Hierarchical Approach to Population Training for Human-AI Collaboration IJCAI 2023 AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation NeurIPS 2023 Algorithm for Constrained Markov Decision Process with Linear Convergence AISTATS 2023 Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning ACL 2023 ALL-E: Aesthetics-guided Low-light Image Enhancement IJCAI 2023 A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning NeurIPS 2023 A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning IJCAI 2023 AlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks AutoML 2023 AlphaSnake: Policy Iteration on a Nondeterministic NP-Hard Markov Decision Process (Student Abstract) AAAI 2023 A Machine with Short-Term, Episodic, and Semantic Memory Systems AAAI 2023 A Meta-Reinforcement Learning Algorithm for Causal Discovery CLeaR 2023 A Minimal Approach for Natural Language Action Space in Text-based Games CoNLL 2023 An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning ICML 2023 An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient NeurIPS 2023 A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints ICML 2023