167 citations · 552 across the 28 of their papers we have counts for
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cs.LG2021★ 1 cited
Approximated Multi-Agent Fitted Q Iteration
Antoine Lesage-Landry, Duncan S. Callaway
We formulate an efficient approximation for multi-agent batch reinforcement learning, the approximated multi-agent fitted Q iteration (AMAFQI). We present a detailed derivation of…
cs.LG2018★ 2 cited
Towards Distributed Energy Services: Decentralizing Optimal Power Flow with Machine Learning
Roel Dobbe, Oscar Sondermeijer, David Fridovich-Keil +3
The implementation of optimal power flow (OPF) methods to perform voltage and power flow regulation in electric networks is generally believed to require extensive communication. W…