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20192025
most citedThe Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning

21 citations · 49 across the 12 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.RO2022

See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation

Jan Blumenkamp, Qingbiao Li, Binyu Wang +2

We consider the problem of navigating a mobile robot towards a target in an unknown environment that is endowed with visual sensors, where neither the robot nor the sensors have ac…

cs.RO2022★ 3 cited

VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning

Matteo Bettini, Ryan Kortvelesy, Jan Blumenkamp +1

While many multi-robot coordination problems can be solved optimally by exact algorithms, solutions are often not scalable in the number of robots. Multi-Agent Reinforcement Learni…