Learning to share and hide intentions using information regularization
Learning to cooperate with friends and compete with foes is a key component of multi-agent reinforcement learning. Typically to do so, one requires access to either a model of or interaction with the other agent(s). Here we show how to learn effective strategies for cooperation and competition in an...
Main Authors: | Kleiman-Weiner, Max, Tenenbaum, Joshua B |
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Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Language: | English |
Published: |
Curran Associates
2020
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Online Access: | https://hdl.handle.net/1721.1/126610 |
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