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Vehicle Communication Strategies for Simulated Highway Driving

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arxiv 1804.07178 v2 pith:UI274ENK submitted 2018-04-19 cs.MA cs.AI

Cinjon Resnick , Ilya Kulikov , Kyunghyun Cho , Jason Weston This is my paper · ORCID
classification cs.MAcs.AI
keywords communicationemergentfocusinterestadverseagentsalreadybeen
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Interest in emergent communication has recently surged in Machine Learning. The focus of this interest has largely been either on investigating the properties of the learned protocol or on utilizing emergent communication to better solve problems that already have a viable solution. Here, we consider self-driving cars coordinating with each other and focus on how communication influences the agents' collective behavior. Our main result is that communication helps (most) with adverse conditions.

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  1. Expected Return Symmetries

    cs.MA 2025-02 conditional novelty 7.0 of 10

    Expected return symmetries, transformations that preserve the expected return of optimal policies, contain environment symmetries as a subgroup and improve zero-shot coordination in Hanabi and Overcooked V2.

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