Goals:
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To acquire an adequate impression of state-of-the-art research in multi-agent learning, including topics such as learning and teaching, fictitious play, rational learning, no-regret learning, targeted learning, multi-agent reinforcement learning, evolutionary learning.
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To write a short and organised scientific paper summaries on specific topics in MAL
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To be able to deal with technical questions in MAL and be able to formulate written answers
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To write a small thesis on a specialised topic in MAL, and present it to an audience
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To participate in a scientific discussion, according to social scientific standards.
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This seminar focuses on forms of machine learning that typically occur in multi-agent systems. Topics include learning and teaching, fictitious play, rational learning, no-regret learning, targeted learning, multi-agent reinforcement learning and evolutionary learning.
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