offline dataset

Adding Conditional Control to Diffusion Models with Reinforcement Learning ICLR 2025 Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization ICML 2025 Offline Model-based Optimization for Real-World Molecular Discovery ICML 2025 SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization ICLR 2025 Target Return Optimizer for Multi-Game Decision Transformer ACML 2025 A Dual Approach to Imitation Learning from Observations with Offline Datasets CoRL 2024 DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets CoRL 2024 Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning ICML 2024 Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs NeurIPS 2024 Hybrid Reinforcement Learning from Offline Observation Alone ICML 2024 Learning to Model the World With Language ICML 2024 Policy-conditioned Environment Models are More Generalizable ICML 2024 An effective negotiating agent framework based on deep offline reinforcement learning UAI 2023 Evaluating Long-Term Memory in 3D Mazes ICLR 2023 Hybrid RL: Using both offline and online data can make RL efficient ICLR 2023 Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data NeurIPS 2023 DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning ICLR 2022 Don’t Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning CoRL 2022 Skill-based Meta-Reinforcement Learning ICLR 2022 TRAIL: Near-Optimal Imitation Learning with Suboptimal Data ICLR 2022 Benchmarks for Deep Off-Policy Evaluation ICLR 2021