offline reinforcement learning

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning AAAI 2024 A Policy Gradient Method for Confounded POMDPs ICLR 2024 A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning AISTATS 2024 A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data NeurIPS 2024 A Tractable Inference Perspective of Offline RL NeurIPS 2024 A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch NeurIPS 2024 Balancing Context Length and Mixing Times for Reinforcement Learning at Scale NeurIPS 2024 BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning NeurIPS 2024 Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024 Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning ICLR 2024 Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NeurIPS 2024 Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models NAACL 2024 Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 2024 Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024 CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning CoRL 2024 CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning AAAI 2024 Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making ICLR 2024 Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NeurIPS 2024 Deep Reinforcement Learning with Hierarchical Action Exploration for Dialogue Generation COLING 2024 Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding ICLR 2024 Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning NeurIPS 2024 DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation ICML 2024 DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching ICML 2024 Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning NeurIPS 2024 Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NeurIPS 2024