240 citations · 379 across the 3 of their papers we have counts for
3 papers
Policy Iteration for Decentralized Control of Markov Decision Processes
Daniel S. Bernstein, Christopher Amato, Eric A. Hansen +1
Coordination of distributed agents is required for problems arising in many areas, including multi-robot systems, networking and e-commerce. As a formal framework for such problems…
The Complexity of Decentralized Control of Markov Decision Processes
Daniel S Bernstein, Shlomo Zilberstein, Neil Immerman
Planning for distributed agents with partial state information is considered from a decision- theoretic perspective. We describe generalizations of both the MDP and POMDP models th…
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.…