offline reinforcement learning

492 papers

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Also known as

MORL O2O CQL-PRIOR OSRL ORDC OFFLINE RL RVS OMRL OOD 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

Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning COLT 2024

SpOiLer: Offline reinforcement learning using scaled penalties L4DC 2024

Robust Policy Learning via Offline Skill Diffusion AAAI 2024

Residual learning and context encoding for adaptive offline-to-online reinforcement learning L4DC 2024

Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data COLT 2024

MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces COLING 2024

Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models NAACL 2024

Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NIPS 2024

Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NIPS 2024

Multi-Agent Domain Calibration with a Handful of Offline Data NIPS 2024

LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble EMNLP 2024

Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NIPS 2024

Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms ICML 2024

Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? NIPS 2024

Retrospex: Language Agent Meets Offline Reinforcement Learning Critic EMNLP 2024

Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NIPS 2024

POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning CVPR 2024

Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage NIPS 2024

Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NIPS 2024

Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NIPS 2024

The Value of Reward Lookahead in Reinforcement Learning NIPS 2024

Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality NIPS 2024

Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization AAAI 2024

GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NIPS 2024

Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024