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Value Iteration

356 papers

Papers per year

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Papers

Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds NIPS 2012
Optimistic planning for Markov decision processes AISTATS 2012
Transfer in Reinforcement Learning via Shared Features JMLR 2012
Linear Fitted-Q Iteration with Multiple Reward Functions JMLR 2012
Optimal Control with Weighted Average Costs and Temporal Logic Specifications RSS 2012
Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NIPS 2011
A Non-Parametric Approach to Dynamic Programming NIPS 2011
Convergent Fitted Value Iteration with Linear Function Approximation NIPS 2011
Monte Carlo Value Iteration with Macro-Actions NIPS 2011
Continuous Rapid Action Value Estimates ACML 2011
Exploiting Best-Match Equations for Efficient Reinforcement Learning JMLR 2011
Error Propagation for Approximate Policy and Value Iteration NIPS 2010
LSTD with Random Projections NIPS 2010
Basis Construction from Power Series Expansions of Value Functions NIPS 2010
Monte-Carlo Planning in Large POMDPs NIPS 2010
Finite-sample Analysis of Bellman Residual Minimization ACML 2010
A Smoothed Approximate Linear Program NIPS 2009
Robust Value Function Approximation Using Bilinear Programming NIPS 2009
Value Function Based Reinforcement Learning in Changing Markovian Environments JMLR 2008
Stable Dual Dynamic Programming NIPS 2007
Theoretical Analysis of Heuristic Search Methods for Online POMDPs NIPS 2007
Random Sampling of States in Dynamic Programming NIPS 2007
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NIPS 2007
Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007
Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning NIPS 2006