policy iteration

Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NeurIPS 2019 Representation Learning on Graphs: A Reinforcement Learning Application AISTATS 2019 A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning IJCAI 2018 Beyond the One-Step Greedy Approach in Reinforcement Learning ICML 2018 Fast Bellman Updates for Robust MDPs ICML 2018 Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NeurIPS 2018 Planning and Learning with Stochastic Action Sets IJCAI 2018 Fake News Mitigation via Point Process Based Intervention ICML 2017 Improved Strong Worst-case Upper Bounds for MDP Planning IJCAI 2017 Reinforcement Learning under Model Mismatch NeurIPS 2017 Regularized Policy Iteration with Nonparametric Function Spaces JMLR 2016 Softened Approximate Policy Iteration for Markov Games ICML 2016 Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015 Non-Stationary Approximate Modified Policy Iteration ICML 2015 RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research JMLR 2015 Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NeurIPS 2013 Construction of Approximation Spaces for Reinforcement Learning JMLR 2013 Improved and Generalized Upper Bounds on the Complexity of Policy Iteration NeurIPS 2013 Learning from Limited Demonstrations NeurIPS 2013 Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result NeurIPS 2013 Safe Policy Iteration ICML 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 Dynamic Policy Programming JMLR 2012 On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012