Offline RL

Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling ICLR 2025 Target Return Optimizer for Multi-Game Decision Transformer ACML 2025 Test-time Adapted Reinforcement Learning with Action Entropy Regularization ICML 2025 The Pitfalls of Imitation Learning when Actions are Continuous COLT 2025 The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data ICML 2025 Towards Cost-Effective Reward Guided Text Generation ICML 2025 Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning ICML 2025 Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization ICLR 2025 When to retrain a machine learning model ICML 2025 Zero-Shot Offline Imitation Learning via Optimal Transport ICML 2025 A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NeurIPS 2024 Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation NeurIPS 2024 Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process NeurIPS 2024 A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning IJCAI 2024 ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning AAAI 2024 Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning NeurIPS 2024 Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning ICML 2024 A Dual Approach to Imitation Learning from Observations with Offline Datasets CoRL 2024 Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NeurIPS 2024 A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models ICML 2024 An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning AAAI 2024 An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning NeurIPS 2024 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 Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs ICML 2024