Reinforcement Learning

Offline Learning in Markov Games with General Function Approximation ICML 2023 Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ICML 2023 Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage NeurIPS 2023 Offline Model-Based Reinforcement Learning for Tokamak Control L4DC 2023 Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization NeurIPS 2023 Offline Quantum Reinforcement Learning in a Conservative Manner AAAI 2023 Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management NeurIPS 2023 Offline Reinforcement Learning with Closed-Form Policy Improvement Operators ICML 2023 Offline Reinforcement Learning with Differential Privacy NeurIPS 2023 Offline RL for Natural Language Generation with Implicit Language Q Learning ICLR 2023 Offline RL with Discrete Proxy Representations for Generalizability in POMDPs NeurIPS 2023 Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization ICLR 2023 Off-Policy Actor-Critic with Emphatic Weightings JMLR 2023 Off-Policy Average Reward Actor-Critic with Deterministic Policy Search ICML 2023 Off-Policy Evaluation for Human Feedback NeurIPS 2023 Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling ICML 2023 Off-Policy Proximal Policy Optimization AAAI 2023 On Adaptivity and Safety in Sequential Decision Making IJCAI 2023 One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning AISTATS 2023 One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments RSS 2023 One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning NeurIPS 2023 One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill ICML 2023 One-Shot Imitation Learning: A Pose Estimation Perspective CoRL 2023 One-shot Imitation Learning via Interaction Warping CoRL 2023 On Imitation in Mean-field Games NeurIPS 2023