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- W3166707946 abstract "Multi-agent reinforcement learning in mixed-motivesettings allows for the study of complex dynamics ofagent interactions. Embodied agents in partially ob-servable environments with the ability to communicatecan share information, agree on strategies, or even lieto each other.In order to study this, we propose a sim-ple environment where we can impose varying levels ofcooperation, communication and competition as pre-requisites to reach an optimal outcome. Welcome tothe jungle." @default.
- W3166707946 created "2021-06-22" @default.
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- W3166707946 date "2021-06-10" @default.
- W3166707946 modified "2023-10-12" @default.
- W3166707946 title "HexaJungle: a MARL Simulator to Study the Emergence of Language" @default.
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