Unlike mono-agent systems, multi-agent planing addresses the problem of resolving conflicts between individual and group interests. In this paper, we are using a Decentralized Ve...
Abstract. Commitments play a central role in multi-agent coordination. However, they are inherently uncertain and it is important to take these uncertainties into account during pl...
Autonomy is regarded as a crucial notion in multi-agent systems and several researchers have tried to identify what are the agent's parts that give it an autonomous character....
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
Chongjie Zhang, Victor R. Lesser, Sherief Abdallah
Abstract. In this abstract, we present a complex multiagent environment, the RoboCupRescue simulation, and show some of the learning opportunities for the coordination of agents in...