Markov Decision Process

Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NeurIPS 2012 Robustness and risk-sensitivity in Markov decision processes NeurIPS 2012 Symbolic Dynamic Programming for Continuous State and Observation POMDPs NeurIPS 2012 Speedy Q-Learning NeurIPS 2011 A POMDP Extension with Belief-dependent Rewards NeurIPS 2010 Basis Construction from Power Series Expansions of Value Functions NeurIPS 2010 Error Propagation for Approximate Policy and Value Iteration NeurIPS 2010 Online Markov Decision Processes under Bandit Feedback NeurIPS 2010 Policy gradients in linearly-solvable MDPs NeurIPS 2010 Predictive State Temporal Difference Learning NeurIPS 2010 Improving Existing Fault Recovery Policies NeurIPS 2009 Learning to Explore and Exploit in POMDPs NeurIPS 2009 The Infinite Partially Observable Markov Decision Process NeurIPS 2009 A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NeurIPS 2008 Biasing Approximate Dynamic Programming with a Lower Discount Factor NeurIPS 2008 Bounding Performance Loss in Approximate MDP Homomorphisms NeurIPS 2008 Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement NeurIPS 2008 MDPs with Non-Deterministic Policies NeurIPS 2008 Particle Filter-based Policy Gradient in POMDPs NeurIPS 2008 Bayes-Adaptive POMDPs NeurIPS 2007 Scan Strategies for Meteorological Radars NeurIPS 2007 Stable Dual Dynamic Programming NeurIPS 2007 Theoretical Analysis of Heuristic Search Methods for Online POMDPs NeurIPS 2007 What makes some POMDP problems easy to approximate? NeurIPS 2007 Linearly-solvable Markov decision problems NeurIPS 2006