Cooperate to compete : composable planning and inference in multi-agent reinforcement learning

Cooperate to compete : composable planning and inference in multi-agent reinforcement learning

Thesis: M. Eng. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.

Bibliographic Details
Main Author:	Shum, Michael M
Other Authors:	Joshua B. Tenenbaum and Max Kleiman-Weiner.
Format:	Thesis
Language:	eng
Published:	Massachusetts Institute of Technology 2018
Subjects:	Electrical Engineering and Computer Science.
Online Access:	http://hdl.handle.net/1721.1/119712

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