offline reinforcement learning

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 Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024 DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations ICLR 2024 DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors NeurIPS 2024 Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024 Doubly Mild Generalization for Offline Reinforcement Learning NeurIPS 2024 Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization IJCAI 2024 Efficient imitation learning with conservative world models L4DC 2024 Efficient Offline Meta-Reinforcement Learning via Robust Task Representations and Adaptive Policy Generation IJCAI 2024 Efficient Planning with Latent Diffusion ICLR 2024 Efficient Reinforcement Learning by Discovering Neural Pathways NeurIPS 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 EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes 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 Federated Ensemble-Directed Offline Reinforcement Learning NeurIPS 2024 Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices ICML 2024 Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation ICLR 2024 Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning ICLR 2024 GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024