Offline Reinforcement Learning

Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus NeurIPS 2022 S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning NeurIPS 2022 State Deviation Correction for Offline Reinforcement Learning AAAI 2022 Text-Based Interactive Recommendation via Offline Reinforcement Learning AAAI 2022 Variational oracle guiding for reinforcement learning ICLR 2022 When are Offline Two-Player Zero-Sum Markov Games Solvable? NeurIPS 2022 You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments NeurIPS 2022 Active Offline Policy Selection NeurIPS 2021 A General Offline Reinforcement Learning Framework for Interactive Recommendation AAAI 2021 A Minimalist Approach to Offline Reinforcement Learning NeurIPS 2021 BCORLE(λ): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market NeurIPS 2021 DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs ICLR 2021 Nearly Horizon-Free Offline Reinforcement Learning NeurIPS 2021 OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning ICLR 2021 Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings NeurIPS 2021 Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning NeurIPS 2021 Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NeurIPS 2021 Text Generation by Learning from Demonstrations ICLR 2021 Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NeurIPS 2021 Universal Off-Policy Evaluation NeurIPS 2021 Weighted model estimation for offline model-based reinforcement learning NeurIPS 2021 What are the Statistical Limits of Offline RL with Linear Function Approximation? ICLR 2021 Empirical Likelihood for Contextual Bandits NeurIPS 2020 Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning ACML 2020 Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NeurIPS 2020