Offline Reinforcement Learning

The Generalization Gap in Offline Reinforcement Learning ICLR 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NeurIPS 2024 Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization ICLR 2024 Worst-Case Offline Reinforcement Learning with Arbitrary Data Support NeurIPS 2024 Confidence-Conditioned Value Functions for Offline Reinforcement Learning ICLR 2023 Corruption-Robust Offline Reinforcement Learning with General Function Approximation NeurIPS 2023 Extreme Q-Learning: MaxEnt RL without Entropy ICLR 2023 Goal-Conditioned Predictive Coding for Offline Reinforcement Learning NeurIPS 2023 Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting ICLR 2023 HIQL: Offline Goal-Conditioned RL with Latent States as Actions NeurIPS 2023 Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks NeurIPS 2023 Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning NeurIPS 2023 In-sample Actor Critic for Offline Reinforcement Learning ICLR 2023 Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement ICLR 2023 Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization ICLR 2023 Policy-Adaptive Estimator Selection for Off-Policy Evaluation AAAI 2023 Policy Expansion for Bridging Offline-to-Online Reinforcement Learning ICLR 2023 Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning NeurIPS 2023 ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints NeurIPS 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction NeurIPS 2023 Safe Policy Improvement for POMDPs via Finite-State Controllers AAAI 2023 Supported Value Regularization for Offline Reinforcement Learning NeurIPS 2023 The In-Sample Softmax for Offline Reinforcement Learning ICLR 2023 The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning ICLR 2023 Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning NeurIPS 2023