We present a novel POMDP planning algorithm called heuristic search value iteration (HSVI). HSVI is an anytime algorithm that returns a policy and a provable bound on its regret w...
A major challenge in the field of Multi-Agent Systems is to enable autonomous agents to allocate tasks efficiently. This paper extends previous work on an approach to the collec...
Christian Guttmann, Iyad Rahwan, Michael P. George...
Intense competition in many industries impels firms to develop more products in less time. Overlapping of development activities is regarded as one of the most promising strategie...
Jun Lin, Kah Hin Chai, Yoke San Wong, Aarnout Brom...
Abstract. Finding optimal policies for general partially observable Markov decision processes (POMDPs) is computationally difficult primarily due to the need to perform dynamic-pr...
Despite the significant progress to extend Markov Decision Processes (MDP) to cooperative multi-agent systems, developing approaches that can deal with realistic problems remains ...