Cooperation among autonomous agents has been discussed in the DAI community for several years. Papers about cooperation 6,45 , negotiation 33 , distributed planning 5 , and coalit...
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Fa...
Game developers are faced with the difficult task of creating non-player characters with convincing behavior. This commonly involves an exhaustive specification of their actions i...
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This coordination problem is both ubiquitous and challenging,...