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

Internet

http://hdl.handle.net/1721.1/119712

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