The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
This study concerns virtual environments for training in operational conditions. The principal developed idea is that these environments are heterogeneous and open multi-agent sys...
Cedric Buche, Ronan Querrec, Pierre De Loor, Pierr...
There is a lot of confusion on what the environment of a multi-agent system (MAS) comprises. Sometimes, researchers refer to the environment as the logical entity of a MAS in which...
The environment has been recognized as an explicit and exploitable element to design Multi-Agent Systems (MAS). It can be assigned a number of responsibilities that would be more d...
Eric Platon, Marco Mamei, Nicolas Sabouret, Shinic...
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...