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Reinforcement Learning

1263 directly classified papers

Papers per year

Papers

Learned Prioritization for Trading Off Accuracy and Speed NIPS 2012
Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions NIPS 2012
The Fixed Points of Off-Policy TD NIPS 2011
Convergent Fitted Value Iteration with Linear Function Approximation NIPS 2011
Coherent Inference on Optimal Play in Game Trees AISTATS 2010
Bootstrapping from Game Tree Search NIPS 2009
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NIPS 2009
Hebbian Learning of Bayes Optimal Decisions NIPS 2008
Regularized Policy Iteration NIPS 2008
On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NIPS 2008
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NIPS 2007
Incremental Natural Actor-Critic Algorithms NIPS 2007
A Scalable Machine Learning Approach to Go NIPS 2006