Markov tracking for agent coordination

Richard Washington
1998 Proceedings of the second international conference on Autonomous agents - AGENTS '98  
Partially observable Markov decision processes (POMDPs) are an attractive representation for representing agent behavior, since they capture uncertainty in both the agent's state and its actions. However, finding an optimal pol-https://ntrs.nasa.gov/search.jsp?R=20020060762 2018-07-24T02:45:54+00:00Z
doi:10.1145/280765.280777 dblp:conf/agents/Washington98 fatcat:y2ypli72azd3jgwmdvgccwq7iq