offline data

Active Reinforcement Learning Strategies for Offline Policy Improvement AAAI 2025 Best Arm Identification with Possibly Biased Offline Data UAI 2025 Efficient Imitation under Misspecification ICLR 2025 Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data AISTATS 2025 Neurosymbolic World Models for Sequential Decision Making ICML 2025 Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data ICML 2025 Zero-Shot Offline Imitation Learning via Optimal Transport ICML 2025 Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design ICML 2024 EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data CoRL 2024 Foundation Policies with Hilbert Representations ICML 2024 Leveraging (Biased) Information: Multi-armed Bandits with Offline Data ICML 2024 Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024 Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data ICLR 2024 A New Challenge in Policy Evaluation AAAI 2023 Efficient Online Reinforcement Learning with Offline Data ICML 2023 Jump-Start Reinforcement Learning ICML 2023 Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward ICLR 2023 Leveraging Demonstrations to Improve Online Learning: Quality Matters ICML 2023 Marginalized Importance Sampling for Off-Environment Policy Evaluation CoRL 2023 Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data NeurIPS 2023 Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments NeurIPS 2022 Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback NAACL 2022 AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale CoRL 2021 Bandits with partially observable confounded data UAI 2021 Model Inversion Networks for Model-Based Optimization NeurIPS 2020