Reinforcement Learning

NeoRL: Efficient Exploration for Nonepisodic RL NeurIPS 2024 Neural Network Approximation for Pessimistic Offline Reinforcement Learning AAAI 2024 No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning AAAI 2024 No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO NeurIPS 2024 OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NeurIPS 2024 Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality NeurIPS 2024 ODRL: A Benchmark for Off-Dynamics Reinforcement Learning NeurIPS 2024 Offline Model-Based Optimization via Policy-Guided Gradient Search AAAI 2024 Offline Multitask Representation Learning for Reinforcement Learning NeurIPS 2024 Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression NeurIPS 2024 On Divergence Measures for Training GFlowNets NeurIPS 2024 One-Shot Safety Alignment for Large Language Models via Optimal Dualization NeurIPS 2024 On learning history-based policies for controlling Markov decision processes AISTATS 2024 Online Control with Adversarial Disturbance for Continuous-time Linear Systems NeurIPS 2024 Online Iterative Reinforcement Learning from Human Feedback with General Preference Model NeurIPS 2024 Online learning in bandits with predicted context AISTATS 2024 Online Learning of Decision Trees with Thompson Sampling AISTATS 2024 Online Markov Decision Processes Configuration with Continuous Decision Space AAAI 2024 Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments AAAI 2024 Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints AAAI 2024 On Representation Complexity of Model-based and Model-free Reinforcement Learning ICLR 2024 On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models IJCAI 2024 On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024 On the Model-Misspecification in Reinforcement Learning AISTATS 2024 On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NeurIPS 2024