temporal difference learning

On Q-learning Convergence for Non-Markov Decision Processes IJCAI 2018 Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation CoRL 2018 Temporal Difference Models: Model-Free Deep RL for Model-Based Control ICLR 2018 Consistent On-Line Off-Policy Evaluation ICML 2017 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NeurIPS 2017 State Aware Imitation Learning NeurIPS 2017 An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016 Bayesian Policy Gradient and Actor-Critic Algorithms JMLR 2016 Learning the Variance of the Reward-To-Go JMLR 2016 True Online Temporal-Difference Learning JMLR 2016 On Convergence of Emphatic Temporal-Difference Learning COLT 2015 On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence ICML 2015 Policy Evaluation Using the Ω-Return NeurIPS 2015 Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies JMLR 2014 Policy Evaluation with Temporal Differences: A Survey and Comparison JMLR 2014 Quasi Newton Temporal Difference Learning ACML 2014 True Online TD(lambda) ICML 2014 Universal Option Models NeurIPS 2014 Concurrent Reinforcement Learning from Customer Interactions ICML 2013 Temporal Difference Methods for the Variance of the Reward To Go ICML 2013 Dynamic Policy Programming JMLR 2012 Finite-Sample Analysis of Least-Squares Policy Iteration JMLR 2012 Regularized Off-Policy TD-Learning NeurIPS 2012 A Non-Parametric Approach to Dynamic Programming NeurIPS 2011 Environmental statistics and the trade-off between model-based and TD learning in humans NeurIPS 2011