15 search results - page 1 / 3 » Collaborative Multiagent Reinforcement Learning by Payoff Pr... |
JMLR
2006
13 years 4 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...
ATAL
2004
Springer
13 years 10 months ago
2004
Springer
Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
IAT
2005
IEEE
13 years 10 months ago
2005
IEEE
In many different applications on the Web, distributed agents would like to discover and access high quality information sources. This is a challenging problem since an agent does...
NIPS
2004
13 years 5 months ago
2004
We consider multi-agent systems whose agents compete for resources by striving to be in the minority group. The agents adapt to the environment by reinforcement learning of the pr...
ATAL
2004
Springer
13 years 10 months ago
2004
Springer
Multi-agent research often borrows from biology, where remarkable examples of collective intelligence may be found. One interesting example is ant colonies’ use of pheromones as...