In the framework of fully cooperative multi-agent systems, independent (non-communicative)
agents that learn by reinforcement must overcome several difficulties to manage to …

We introduce the Lenient Multiagent Reinforcement Learning 2 (LMRL2) algorithm for
independent-learner stochastic cooperative games. LMRL2 is designed to overcome a …

We investigate a distributed caching strategy based on multi-agent reinforcement learning
(MARL) in a cache-aided network, where all wireless nodes have limited storage capacity …

Many real-world scenarios involve teams of agents that have to coordinate their actions to
reach a shared goal. We focus on the setting in which a team of agents faces an opponent in …

Humans tend to give more weight to information confirming their beliefs than to information
that disconfirms them. Nevertheless, this apparent irrationality has been shown to improve …

Coordination in cooperative multiagent systems is an important problem in multiagent
learning literature. In practical complex environments, the interactions between agents can …

An Unmanned Aerial Vehicle (UAV) can greatly reduce manpower in the agricultural plant
protection such as watering, sowing, and pesticide spraying. It is essential to develop a …

Distributed-air-jet MEMS-based systems have been proposed to manipulate small parts with
high velocities and without any friction problems. The control of such distributed systems is …

We present a distributed Q-Learning approach for independently learning agents in a
subclass of cooperative stochastic games called cooperative sequential stage games. In this …

The Java programming language provides both reflection and remote method invocation:
reflection allows a program to inspect itself and its runtime environment, remote method …