The Networked Distributed POMDPs (ND-POMDPs) can model multiagent systems in uncertain domains and has begun to scale-up the number of agents. However, prior work in ND-POMDPs has failed to address communication. Without communication, the size of a local policy at each agent within the ND-POMDPs grows exponentially in the time horizon. To overcome this problem, we extend existing algorithms so that agents periodically communicate their observation and action histories with each other. After communication, agents can start from new synchronized belief state. Thus, we can avoid the exponential growth in the size of local policies at agents. Furthermore, we introduce an idea that is similar to the Point-based Value Iteration algorithm to approximate the value function with a fixed number of representative points. Our experimental results show that we can obtain much longer policies than existing algorithms as long as the interval between communications is small.
Multi-agent system, Distributed POMDPs, Communication
Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering
Intelligent Systems and Decision Analytics
Web Intelligence and Agent Systems
TASAKI, Makoto; Yabu, Yuichi; Iwanari, Yuki; Yokoo, Makoto; Marecki, Janusz; VARAKANTHAM, Pradeep Reddy; and Tambe, Milind.
Introducing Communication in Dis-POMDPs with Locality of Interaction. (2010). Web Intelligence and Agent Systems. 8, (3), 303-311. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/616
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