This paper is concerned with how multi-agent reinforcement learning algorithms can practically be applied to real-life problems. Recently, a new coordinated multi-agent exploratio...
We describe a generalized Q-learning type algorithm for reinforcement learning in competitive multi-agent games. We make the observation that in a competitive setting with adaptive...
Pieter Jan't Hoen, Sander M. Bohte, Han La Poutr&e...
Discussions of agent interactions frequently characterize behavior as “coherent,” “collaborative,” “cooperative,” “competitive,” or “coordinated.” We propose a...
H. Van Dyke Parunak, Sven Brueckner, Mitchell Flei...
Experimental analysis of networks of cooperative learning agents (to verify certain properties such as the system's stability) has been commonly used due to the complexity of...