reinforcement learning

Safe Exploration in Finite Markov Decision Processes with Gaussian Processes NeurIPS 2016 Safe Policy Improvement by Minimizing Robust Baseline Regret NeurIPS 2016 Strategic Attentive Writer for Learning Macro-Actions NeurIPS 2016 Threshold Learning for Optimal Decision Making NeurIPS 2016 Tree-Structured Reinforcement Learning for Sequential Object Localization NeurIPS 2016 True Online Temporal-Difference Learning JMLR 2016 Action-Conditional Video Prediction using Deep Networks in Atari Games NeurIPS 2015 Data Generation as Sequential Decision Making NeurIPS 2015 Gradient Estimation Using Stochastic Computation Graphs NeurIPS 2015 Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning ICML 2015 Learning to Track: Online Multi-Object Tracking by Decision Making ICCV 2015 Non-Stationary Approximate Modified Policy Iteration ICML 2015 Policy Evaluation Using the Ω-Return NeurIPS 2015 Rationality, Optimism and Guarantees in General Reinforcement Learning JMLR 2015 Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation ACML 2015 RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research JMLR 2015 Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach RSS 2015 Sample Complexity Bounds for Iterative Stochastic Policy Optimization NeurIPS 2015 Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NeurIPS 2015 Trust Region Policy Optimization ICML 2015 Universal Value Function Approximators ICML 2015 Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NeurIPS 2015 Weight Uncertainty in Neural Network ICML 2015 Algorithms for CVaR Optimization in MDPs NeurIPS 2014 A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014