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offline reinforcement learning

492 papers

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Also known as

OFFLINE RL ORL

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

Provable Representation Learning for Imitation with Contrastive Fourier Features NIPS 2021
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration NIPS 2021
The Difficulty of Passive Learning in Deep Reinforcement Learning NIPS 2021
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NIPS 2021
BCORLE($\lambda$): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market NIPS 2021
A Minimalist Approach to Offline Reinforcement Learning NIPS 2021
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage NIPS 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem NIPS 2021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization ICML 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL ICML 2021
Offline Reinforcement Learning with Pseudometric Learning ICML 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills ICML 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment ICML 2021
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism NIPS 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning NIPS 2021
Continuous Doubly Constrained Batch Reinforcement Learning NIPS 2021
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning NIPS 2021
Offline Model-based Adaptable Policy Learning NIPS 2021
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings NIPS 2021
Weighted model estimation for offline model-based reinforcement learning NIPS 2021
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction NIPS 2021
Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble NIPS 2021
Bellman-consistent Pessimism for Offline Reinforcement Learning NIPS 2021