policy iteration

A reinterpretation of the policy oscillation phenomenon in approximate policy iteration NeurIPS 2011 Dynamic Policy Programming with Function Approximation AISTATS 2011 Reinforcement Learning using Kernel-Based Stochastic Factorization NeurIPS 2011 Robust Approximate Bilinear Programming for Value Function Approximation JMLR 2011 Error Propagation for Approximate Policy and Value Iteration NeurIPS 2010 Finite-sample Analysis of Bellman Residual Minimization ACML 2010 Linear Complementarity for Regularized Policy Evaluation and Improvement NeurIPS 2010 LSTD with Random Projections NeurIPS 2010 Multi-task Reinforcement Learning in Partially Observable Stochastic Environments JMLR 2009 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Regularized Policy Iteration NeurIPS 2008 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007 Automated Hierarchy Discovery for Planning in Partially Observable Environments NeurIPS 2006 Prioritization Methods for Accelerating MDP Solvers JMLR 2005 Least-Squares Policy Iteration JMLR 2003 On the Convergence of Optimistic Policy Iteration JMLR 2002