offline rl

GOODLIAR: A Reinforcement Learning-Based Deceptive Agent for Disrupting LLM Beliefs on Foundational Principles ACL 2025 Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning ICML 2025 Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning ICLR 2025 ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning ICML 2025 ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations CoRL 2025 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NeurIPS 2024 Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality NeurIPS 2024 PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer ICML 2024 Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning NeurIPS 2024 Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance CoRL 2024 Semi-Offline Reinforcement Learning for Optimized Text Generation ICML 2023 Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap ICML 2023 What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? ICML 2023 d3rlpy: An Offline Deep Reinforcement Learning Library JMLR 2022 Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization ACL 2022 VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning NeurIPS 2022 Decision Transformer: Reinforcement Learning via Sequence Modeling NeurIPS 2021 BRPO: Batch Residual Policy Optimization IJCAI 2020 Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies ICLR 2020 Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning ICLR 2020 High Confidence Policy Improvement ICML 2015