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offline reinforcement learning

492 papers

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Also known as

OFFLINE RL ORL RL

Co-occurring keywords

policy optimization (630) policy learning (699) model-based reinforcement learning (415) value function (294) sample complexity (1158) deep reinforcement learning (903) imitation learning (741) distribution shift (711) markov decision process (788) reinforcement learning (4122)

Papers

Offline Primal-Dual Reinforcement Learning for Linear MDPs AISTATS 2024
Deep Reinforcement Learning with Hierarchical Action Exploration for Dialogue Generation COLING 2024
Doubly Mild Generalization for Offline Reinforcement Learning NIPS 2024
Reward-Relevance-Filtered Linear Offline Reinforcement Learning AISTATS 2024
Federated Ensemble-Directed Offline Reinforcement Learning NIPS 2024
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks IJCAI 2024
Multi-Agent Domain Calibration with a Handful of Offline Data NIPS 2024
Parameterized Projected Bellman Operator AAAI 2024
Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL AAAI 2024
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles IJCAI 2024
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024
Learning Versatile Skills with Curriculum Masking NIPS 2024
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning AAAI 2024
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NIPS 2024
An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning AAAI 2024
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning NIPS 2024
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint) AAAI 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 2024
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NIPS 2024
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NIPS 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors NIPS 2024
MetaReflection: Learning Instructions for Language Agents using Past Reflections EMNLP 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NIPS 2024