The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
Collaborative construction is a main application in the field of autonomous systems. An interesting subject in the area is the construction of realistic human-like architecture. ...
Yifeng Zeng, Dennis Plougman Buus, Jorge Cordero H...
Being able to trust in a system behavior is of prime importance, particularly within the context of critical applications as embedded or real-time systems. We want to ensure that ...
Caroline Chopinaud, Amal El Fallah-Seghrouchni, Pa...
Current IT application domains such as web services and autonomic computing call for highly flexible systems, able to automatically adapt to changing operational environments as w...
Loris Penserini, Anna Perini, Angelo Susi, John My...
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...