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Reinforcement Learning › Applications ›

Value Iteration

356 papers

Papers per year

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8
50
13
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Papers

Robust partially observable Markov decision process ICML 2015
Universal Value Function Approximators ICML 2015
Non-Stationary Approximate Modified Policy Iteration ICML 2015
RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research JMLR 2015
Approximate Modified Policy Iteration and its Application to the Game of Tetris JMLR 2015
PAC Optimal MDP Planning with Application to Invasive Species Management JMLR 2015
How hard is my MDP?" The distribution-norm to the rescue" NIPS 2014
Covering Number for Efficient Heuristic-based POMDP Planning ICML 2014
Scaling Up Robust MDPs using Function Approximation ICML 2014
Efficient Learning and Planning with Compressed Predictive States JMLR 2014
Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NIPS 2013
Variational Planning for Graph-based MDPs NIPS 2013
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NIPS 2013
Efficient Exploration and Value Function Generalization in Deterministic Systems NIPS 2013
DESPOT: Online POMDP Planning with Regularization NIPS 2013
Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs NIPS 2013
Robust Data-Driven Dynamic Programming NIPS 2013
Aggregating Optimistic Planning Trees for Solving Markov Decision Processes NIPS 2013
Safe Policy Iteration ICML 2013
Planning by Prioritized Sweeping with Small Backups ICML 2013
Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation ICML 2013
Symbolic Dynamic Programming for Continuous State and Observation POMDPs NIPS 2012
Trajectory-Based Short-Sighted Probabilistic Planning NIPS 2012
Value Pursuit Iteration NIPS 2012
Sketch-Based Linear Value Function Approximation NIPS 2012