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Offline RL

725 directly classified papers

Papers per year

Papers

Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning AAAI 2024
Reward-Relevance-Filtered Linear Offline Reinforcement Learning AISTATS 2024
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations AAAI 2024
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning NIPS 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation AISTATS 2024
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NIPS 2024
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint) AAAI 2024
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks IJCAI 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search AAAI 2024
Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes JMLR 2023
Guide to Control: Offline Hierarchical Reinforcement Learning Using Subgoal Generation for Long-Horizon and Sparse-Reward Tasks IJCAI 2023
Off-Policy Actor-Critic with Emphatic Weightings JMLR 2023
A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023
Reinforcement Learning in Low-rank MDPs with Density Features ICML 2023
More for Less: Safe Policy Improvement with Stronger Performance Guarantees IJCAI 2023
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees AISTATS 2023
Distributionally Robust Policy Gradient for Offline Contextual Bandits AISTATS 2023
Neural Laplace Control for Continuous-time Delayed Systems AISTATS 2023
Continuous-Time Decision Transformer for Healthcare Applications AISTATS 2023
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer NIPS 2023
Exponential Smoothing for Off-Policy Learning ICML 2023
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments AISTATS 2023
Distributed Offline Policy Optimization Over Batch Data AISTATS 2023