Search Results for author: Mark J. Debord

Found 1 papers, 0 papers with code

Decentralized Multi-Agents by Imitation of a Centralized Controller

no code implementations6 Feb 2019 Alex Tong Lin, Mark J. Debord, Katia Estabridis, Gary Hewer, Guido Montufar, Stanley Osher

In order to obtain multi-agents that act in a decentralized manner, we introduce a novel algorithm under the popular framework of centralized training, but decentralized execution.

Imitation Learning Multi-agent Reinforcement Learning +2

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