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Optimal Sequential Planning in Partially Observable Multiagent Settings

Optimal Sequential Planning in Partially Observable Multiagent Settings

Optimal Sequential Planning in Partially Observable Multiagent Settings. Prashant Doshi Department of Computer Science University of Illinois at Chicago. Thesis Committee: Piotr Gmytrasiewicz Bing Liu Peter Nelson Gyorgy Turan Avi Pfeffer. Introduction.

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596 views • 49 slides
On the Role of Interactive Epistemology in Multiagent Planning

On the Role of Interactive Epistemology in Multiagent Planning

On the Role of Interactive Epistemology in Multiagent Planning. Artificial Intelligence and Pattern Recognition (AIPR), 2007. Author Prashant Doshi. Speaker Sergei Fogelson. Dept. of Computer Science and AI Center University of Georgia. Decision-theoretic Planning. Single agent setting.

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287 views • 13 slides
On the Role of Interactive Epistemology in Multiagent Planning

On the Role of Interactive Epistemology in Multiagent Planning

On the Role of Interactive Epistemology in Multiagent Planning. Artificial Intelligence and Pattern Recognition (AIPR), 2007. Author Prashant Doshi. Speaker Sergei Fogelson. Dept. of Computer Science and AI Center University of Georgia. Decision-theoretic Planning. Single agent setting.

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143 views • 13 slides
Department of Computer Science UGA

Department of Computer Science UGA

Learning Team Behavior Using Individual Decision Making in Multiagent Settings Using Interactive DIDs Muthukumaran Chandrasekaran THINC Lab, CS Department The University of Georgia mkran@uga.edu. Department of Computer Science UGA. Introduction. Approach / Experiments.

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183 views • 1 slides
Department of Computer Science UGA

Department of Computer Science UGA

Using Reinforcement Learning to Model True Team Behavior in Uncertain Multiagent Settings in Interactive DIDs Muthukumaran Chandrasekaran THINC Lab, CS Department The University of Georgia mkran@uga.edu. Department of Computer Science UGA. Introduction. Approach. Discussion.

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145 views • 1 slides

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