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Offline RL

726 papers

Papers per year

2
60
37
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Papers

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor ICML 2018
Self-Imitation Learning ICML 2018
Importance Weighted Transfer of Samples in Reinforcement Learning ICML 2018
Importance Sampling for Fair Policy Selection IJCAI 2018
Off-policy evaluation for slate recommendation NIPS 2017
Using Options and Covariance Testing for Long Horizon Off-Policy Policy Evaluation NIPS 2017
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming IJCAI 2017
Online Decision-Making for Scalable Autonomous Systems IJCAI 2017
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NIPS 2016
Safe and Efficient Off-Policy Reinforcement Learning NIPS 2016
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning ICML 2016
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning ICML 2016
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016
Weak Convergence Properties of Constrained Emphatic Temporal-difference Learning with Constant and Slowly Diminishing Stepsize JMLR 2016
Toward Minimax Off-policy Value Estimation AISTATS 2015
Off-policy Model-based Learning under Unknown Factored Dynamics ICML 2015
Weighted importance sampling for off-policy learning with linear function approximation NIPS 2014
Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014
Off-policy Learning With Eligibility Traces: A Survey JMLR 2014
Regularized Off-Policy TD-Learning NIPS 2012
Cost-Sensitive Exploration in Bayesian Reinforcement Learning NIPS 2012
The Fixed Points of Off-Policy TD NIPS 2011
The Infinite Partially Observable Markov Decision Process NIPS 2009
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NIPS 2008
What makes some POMDP problems easy to approximate? NIPS 2007