Value Iteration

Sketch-Based Linear Value Function Approximation NeurIPS 2012 Symbolic Dynamic Programming for Continuous State and Observation POMDPs NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012 Transfer in Reinforcement Learning via Shared Features JMLR 2012 Value Pursuit Iteration NeurIPS 2012 Action-Gap Phenomenon in Reinforcement Learning NeurIPS 2011 A Non-Parametric Approach to Dynamic Programming NeurIPS 2011 Continuous Rapid Action Value Estimates ACML 2011 Convergent Fitted Value Iteration with Linear Function Approximation NeurIPS 2011 Exploiting Best-Match Equations for Efficient Reinforcement Learning JMLR 2011 Monte Carlo Value Iteration with Macro-Actions NeurIPS 2011 Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NeurIPS 2011 Basis Construction from Power Series Expansions of Value Functions NeurIPS 2010 Error Propagation for Approximate Policy and Value Iteration NeurIPS 2010 Finite-sample Analysis of Bellman Residual Minimization ACML 2010 LSTD with Random Projections NeurIPS 2010 Monte-Carlo Planning in Large POMDPs NeurIPS 2010 A Smoothed Approximate Linear Program NeurIPS 2009 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Value Function Based Reinforcement Learning in Changing Markovian Environments JMLR 2008 Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NeurIPS 2007 Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007 Random Sampling of States in Dynamic Programming NeurIPS 2007 Stable Dual Dynamic Programming NeurIPS 2007 Theoretical Analysis of Heuristic Search Methods for Online POMDPs NeurIPS 2007