This work describes a multi-agent architecture and strategy for trade in simultaneous and related auctions. The proposed SIMPLE Agency combines an integer programming model, machi...
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
In real-life multi-agent planning problems, long-term plans will often be invalidated by changes in the environment during or after the planning process. When this happens, short-t...
Xiaoyu Mao, Adriaan ter Mors, Nico Roos, Cees Witt...
Abstract. While agents and environments are two intimately connected concepts, most approaches for multi-agent development focus on the agent-specific part of the system, whereas ...