Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning

international conference on robotics and automation, 2017.

Cited by: 231|Views79
EI

Abstract:

Finding feasible, collision-free paths for multiagent systems can be challenging, particularly in non-communicating scenarios where each agentu0027s intent (e.g. goal) is unobservable to the others. In particular, finding time efficient paths often requires anticipating interaction with neighboring agents, the process of which can be comp...More

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