Search Results for author: Iv Lutigma

Found 1 papers, 0 papers with code

Human and Multi-Agent collaboration in a human-MARL teaming framework

no code implementations12 Jun 2020 Neda Navidi, Francoi Chabo, Saga Kurandwa, Iv Lutigma, Vincent Robt, Gregry Szrftgr, Andea Schuh

Reinforcement learning provides effective results with agents learning from their observations, received rewards, and internal interactions between agents.

Multi-agent Reinforcement Learning Q-Learning +2

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