Reinforcement Learning

TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction CoRL 2024 Transition Constrained Bayesian Optimization via Markov Decision Processes NeurIPS 2024 Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games AAAI 2024 Tree Search-Based Policy Optimization under Stochastic Execution Delay ICLR 2024 TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism EMNLP 2024 Truly No-Regret Learning in Constrained MDPs ICML 2024 Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption ICML 2024 Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning ICML 2024 Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback ACL 2024 Twisting Lids Off with Two Hands CoRL 2024 Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints ICML 2024 Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation AAAI 2024 Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NeurIPS 2024 UBSoft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments CoRL 2024 UMI-on-Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers CoRL 2024 Uncertainty-Aware Decision Transformer for Stochastic Driving Environments CoRL 2024 Uncertainty-Aware Reward-Free Exploration with General Function Approximation ICML 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NeurIPS 2024 Understanding and Diagnosing Deep Reinforcement Learning ICML 2024 Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates ICLR 2024 UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution AAAI 2024 Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling UAI 2024 Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning NeurIPS 2024 Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE NeurIPS 2024