Offline RL

Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NeurIPS 2024 DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning NeurIPS 2024 Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning ICML 2024 Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation NeurIPS 2024 Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity JMLR 2024 Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation AISTATS 2024 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024 Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024 Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration EMNLP 2024 Doubly Mild Generalization for Offline Reinforcement Learning NeurIPS 2024 Dual RL: Unification and New Methods for Reinforcement and Imitation Learning ICLR 2024 DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning NeurIPS 2024 Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes NeurIPS 2024 Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization IJCAI 2024 Efficient Offline Meta-Reinforcement Learning via Robust Task Representations and Adaptive Policy Generation IJCAI 2024 Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design ICML 2024 Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate NeurIPS 2024 Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning ICML 2024 Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation AAAI 2024 Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning ICML 2024 ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles IJCAI 2024 Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning NeurIPS 2024 Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024 Exclusively Penalized Q-learning for Offline Reinforcement Learning NeurIPS 2024 Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint) AAAI 2024