Offline RL

Trust-PCL: An Off-Policy Trust Region Method for Continuous Control ICLR 2018 Constrained Bayesian Reinforcement Learning via Approximate Linear Programming IJCAI 2017 Off-policy evaluation for slate recommendation NeurIPS 2017 Online Decision-Making for Scalable Autonomous Systems IJCAI 2017 Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation NeurIPS 2017 An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016 Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NeurIPS 2016 Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning ICML 2016 Doubly Robust Off-policy Value Evaluation for Reinforcement Learning ICML 2016 Safe and Efficient Off-Policy Reinforcement Learning NeurIPS 2016 Weak Convergence Properties of Constrained Emphatic Temporal-difference Learning with Constant and Slowly Diminishing Stepsize JMLR 2016 Off-policy Model-based Learning under Unknown Factored Dynamics ICML 2015 Toward Minimax Off-policy Value Estimation AISTATS 2015 Off-policy Learning With Eligibility Traces: A Survey JMLR 2014 Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014 Weighted importance sampling for off-policy learning with linear function approximation NeurIPS 2014 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Regularized Off-Policy TD-Learning NeurIPS 2012 Reinforcement Learning using Kernel-Based Stochastic Factorization NeurIPS 2011 The Fixed Points of Off-Policy TD NeurIPS 2011 PAC-Bayesian Model Selection for Reinforcement Learning NeurIPS 2010 The Infinite Partially Observable Markov Decision Process NeurIPS 2009 A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NeurIPS 2008 Fitted Q-iteration in continuous action-space MDPs NeurIPS 2007 What makes some POMDP problems easy to approximate? NeurIPS 2007