markov decision process

On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NeurIPS 2012 Optimistic planning for Markov decision processes AISTATS 2012 Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NeurIPS 2012 Robustness and risk-sensitivity in Markov decision processes NeurIPS 2012 The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012 Tractable Objectives for Robust Policy Optimization NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012 Weighted Likelihood Policy Search with Model Selection NeurIPS 2012 Continuous Rapid Action Value Estimates ACML 2011 Dynamic Policy Programming with Function Approximation AISTATS 2011 Nonlinear Inverse Reinforcement Learning with Gaussian Processes NeurIPS 2011 Optimal and Robust Price Experimentation: Learning by Lottery AISTATS 2011 Relative Entropy Inverse Reinforcement Learning AISTATS 2011 Selecting the State-Representation in Reinforcement Learning NeurIPS 2011 Speedy Q-Learning NeurIPS 2011 Transfer from Multiple MDPs NeurIPS 2011 Adaptive Step-size Policy Gradients with Average Reward Metric ACML 2010 Basis Construction from Power Series Expansions of Value Functions NeurIPS 2010 Distributionally Robust Markov Decision Processes NeurIPS 2010 Feature Construction for Inverse Reinforcement Learning NeurIPS 2010 Finite-sample Analysis of Bellman Residual Minimization ACML 2010 Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NeurIPS 2010 Near-optimal Regret Bounds for Reinforcement Learning JMLR 2010 Online Markov Decision Processes under Bandit Feedback NeurIPS 2010 Policy gradients in linearly-solvable MDPs NeurIPS 2010