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Offline Reinforcement Learning

84 papers

Papers per year

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11
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11

Papers

Large-Scale Retrieval for Reinforcement Learning NIPS 2022
Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets NIPS 2022
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning NIPS 2022
When are Offline Two-Player Zero-Sum Markov Games Solvable? NIPS 2022
Oracle Inequalities for Model Selection in Offline Reinforcement Learning NIPS 2022
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning NIPS 2022
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare NIPS 2022
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning NIPS 2022
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination NIPS 2022
You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments NIPS 2022
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022
Offline Reinforcement Learning as Anti-exploration AAAI 2022
State Deviation Correction for Offline Reinforcement Learning AAAI 2022
Text-Based Interactive Recommendation via Offline Reinforcement Learning AAAI 2022
Offline-to-Online Co-Evolutional User Simulator and Dialogue System EMNLP 2022
On the Role of Discount Factor in Offline Reinforcement Learning ICML 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NIPS 2021
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings NIPS 2021
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning NIPS 2021
Nearly Horizon-Free Offline Reinforcement Learning NIPS 2021
Weighted model estimation for offline model-based reinforcement learning NIPS 2021
A Minimalist Approach to Offline Reinforcement Learning NIPS 2021
BCORLE($\lambda$): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market NIPS 2021
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NIPS 2021