180 citations · 601 across the 46 of their papers we have counts for
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cs.AI2012★ 17 cited
Scaling Up Decentralized MDPs Through Heuristic Search
Jilles S. Dibangoye, Christopher Amato, Arnoud Doniec
Decentralized partially observable Markov decision processes (Dec-POMDPs) are rich models for cooperative decision-making under uncertainty, but are often intractable to solve opti…
cs.AI2012★ 48 cited
Optimizing Memory-Bounded Controllers for Decentralized POMDPs
Christopher Amato, Daniel S Bernstein, Shlomo Zilberstein
We present a memory-bounded optimization approach for solving infinite-horizon decentralized POMDPs. Policies for each agent are represented by stochastic finite state controllers.…