offline reinforcement learning

GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NeurIPS 2024 HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning ICML 2024 Harnessing Density Ratios for Online Reinforcement Learning ICLR 2024 How to Solve Contextual Goal-Oriented Problems with Offline Datasets? NeurIPS 2024 Implicit and Explicit Policy Constraints for Offline Reinforcement Learning CLeaR 2024 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting ICML 2024 Improving Offline RL by Blending Heuristics ICLR 2024 In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought ICML 2024 In-context Exploration-Exploitation for Reinforcement Learning ICLR 2024 Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments ICML 2024 Information-Directed Pessimism for Offline Reinforcement Learning ICML 2024 Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning JMLR 2024 Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? NeurIPS 2024 Is Value Learning Really the Main Bottleneck in Offline RL? NeurIPS 2024 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NeurIPS 2024 KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts NeurIPS 2024 Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference NeurIPS 2024 Learning from Sparse Offline Datasets via Conservative Density Estimation ICLR 2024 Learning Versatile Skills with Curriculum Masking NeurIPS 2024 Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models ICLR 2024 Lifelong Autonomous Improvement of Navigation Foundation Models in the Wild CoRL 2024 LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble EMNLP 2024 MADiff: Offline Multi-agent Learning with Diffusion Models NeurIPS 2024 Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning NeurIPS 2024 Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024