policy optimization

Modelling Policies in MDPs in Reproducing Kernel Hilbert Space AISTATS 2015 Linear Programming for Large-Scale Markov Decision Problems ICML 2014 Actor-Critic Algorithms for Risk-Sensitive MDPs NeurIPS 2013 DESPOT: Online POMDP Planning with Regularization NeurIPS 2013 Guided Policy Search ICML 2013 Online learning in episodic Markovian decision processes by relative entropy policy search NeurIPS 2013 Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions NeurIPS 2013 Inverse Reinforcement Learning through Structured Classification NeurIPS 2012 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012 Value Pursuit Iteration NeurIPS 2012 Weighted Likelihood Policy Search with Model Selection NeurIPS 2012 Dynamic Policy Programming with Function Approximation AISTATS 2011 Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NeurIPS 2011 Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks NeurIPS 2010 Biasing Approximate Dynamic Programming with a Lower Discount Factor NeurIPS 2008 MDPs with Non-Deterministic Policies NeurIPS 2008 Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007 Random Sampling of States in Dynamic Programming NeurIPS 2007 Automated Hierarchy Discovery for Planning in Partially Observable Environments NeurIPS 2006 Linearly-solvable Markov decision problems NeurIPS 2006 The Robustness-Performance Tradeoff in Markov Decision Processes NeurIPS 2006