99 search results - page 7 / 20 » A Reinforcement Learning Approach for Multiagent Navigation |
127
Voted
IROS
2007
IEEE
15 years 9 months ago
2007
IEEE
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
131
click to vote
ECML
2004
Springer
15 years 8 months ago
2004
Springer
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
113
click to vote
AAMAS
2005
Springer
15 years 9 months ago
2005
Springer
We report on an investigation of the learning of coordination in cooperative multi-agent systems. Specifically, we study solutions that are applicable to independent agents i.e. ...
125
click to vote
JMLR
2006
15 years 3 months ago
2006
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
187
click to vote
AGENTS
2001
Springer
15 years 7 months ago
2001
Springer
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...