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Offline RL

725 directly classified papers

Papers per year

Papers

Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms ICML 2024
Residual learning and context encoding for adaptive offline-to-online reinforcement learning L4DC 2024
Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks IJCAI 2024
Is Value Learning Really the Main Bottleneck in Offline RL? NIPS 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NIPS 2024
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process NIPS 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NIPS 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NIPS 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NIPS 2024
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers NIPS 2024
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation NIPS 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NIPS 2024
Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024
Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction AAAI 2024
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation AAAI 2024
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint) AAAI 2024
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice AAAI 2024
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NIPS 2024
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024
Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage NIPS 2024
POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning CVPR 2024
Offline Primal-Dual Reinforcement Learning for Linear MDPs AISTATS 2024