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- 83Artificial Intelligence
- 22Machine Learning
- 10Reinforcement Learning
- 8Planning
- 7Computer Games
- 7Computing Science
Author / Creator / Contributor
- 4Müller, Martin
- 3Mueller, Martin
- 2Johanson, Michael
- 2Nakhost, Hootan
- 2Pelletier, Francis J.
- 2Schaeffer, Jonathan
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- 49Graduate and Postdoctoral Studies (GPS), Faculty of
- 49Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 18Computing Science, Department of
- 18Computing Science, Department of/Technical Reports (Computing Science)
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- 4WISEST Summer Research Program/WISEST Research Posters
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- 49Thesis
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Fall 2015
Extensive-form games are a powerful framework for modeling sequential multi-agent interactions. In extensive-form games with imperfect information, Nash equilibria are generally used as a solution concept, but computing a Nash equilibrium can be intractable in large games. Instead, a variety of...
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{Multi-Agent Deep Reinforcement Learning for Autonomous Energy Coordination in Demand Response Methods for Residential Distribution Networks
DownloadFall 2023
In the field of collaborative learning and decision-making, this thesis aims to explore the effects of individual and joint rewards on the performance and coordination of agents in complex environments. The research objectives encompass two main aspects: firstly, to determine the objective...
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