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Game AI

511 papers

Papers per year

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3
67
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Papers

A reinterpretation of the policy oscillation phenomenon in approximate policy iteration NIPS 2011
Efficient Reductions for Imitation Learning AISTATS 2010
Monte Carlo Sampling for Regret Minimization in Extensive Games NIPS 2009
Bootstrapping from Game Tree Search NIPS 2009
Solving Stochastic Games NIPS 2009
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NIPS 2008
Multi-Agent Reinforcement Learning in Common Interest and Fixed Sum Stochastic Games: An Experimental Study JMLR 2008
Regret Minimization in Games with Incomplete Information NIPS 2007
A Scalable Machine Learning Approach to Go NIPS 2006
Natural Actor-Critic for Road Traffic Optimisation NIPS 2006
Nash Q-Learning for General-Sum Stochastic Games JMLR 2003