AAMAS
2002
Springer
14 years 9 days ago
2002
Springer
Abstract. Open systems are becoming increasingly important in a variety of distributed, networked computer applications. Their characteristics, such as agent diversity, heterogenei...
TSMC
2008
14 years 10 days ago
2008
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
GECCO
2008
Springer
14 years 1 months ago
2008
Springer
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially c...
ATAL
2010
Springer
14 years 1 months ago
2010
Springer
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
IJCAI
2003
14 years 1 months ago
2003
Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
ATAL
2006
Springer
14 years 2 months ago
2006
Springer
In concurrent cooperative multiagent learning, each agent simultaneously learns to improve the overall performance of the team, with no direct control over the actions chosen by i...
ATAL
2008
Springer
14 years 2 months ago
2008
Springer
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
ATAL
2008
Springer
14 years 2 months ago
2008
Springer
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
ARGMAS
2006
Springer
14 years 4 months ago
2006
Springer
Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
GECCO
2010
Springer
14 years 5 months ago
2010
Springer
This paper argues that multiagent learning is a potential “killer application” for generative and developmental systems (GDS) because key challenges in learning to coordinate ...