off-policy learning

An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy ICML 2014 A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014 Deterministic Policy Gradient Algorithms ICML 2014 Off-policy Learning With Eligibility Traces: A Survey JMLR 2014 Policy Evaluation with Temporal Differences: A Survey and Comparison JMLR 2014 Weighted importance sampling for off-policy learning with linear function approximation NeurIPS 2014 Regularized Off-Policy TD-Learning NeurIPS 2012 The Fixed Points of Off-Policy TD NeurIPS 2011 Double Q-learning NeurIPS 2010 Learning from Logged Implicit Exploration Data NeurIPS 2010 Model-Free Monte Carlo-like Policy Evaluation AISTATS 2010 Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NeurIPS 2009 A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NeurIPS 2008 Least-Squares Policy Iteration JMLR 2003