48 citations · 51 across the 3 of their papers we have counts for
3 papers
cs.AI2019
Active Goal Recognition
Christopher Amato, Andrea Baisero
To coordinate with other systems, agents must be able to determine what the systems are currently doing and predict what they will be doing in the future---plan and goal recognitio…
cs.AI2014★ 3 cited
Scalable Planning and Learning for Multiagent POMDPs: Extended Version
Christopher Amato, Frans A. Oliehoek
Online, sample-based planning algorithms for POMDPs have shown great promise in scaling to problems with large state spaces, but they become intractable for large action and observ…
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.…