8 search results - page 2 / 2 » Case-Based Multiagent Reinforcement Learning: Cases as Heuri... |
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
PPSN
2004
Springer
13 years 10 months ago
2004
Springer
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
EWCBR
2008
Springer
13 years 7 months ago
2008
Springer
In this paper we propose an approach to address the old problem of identifying the feature conditions under which a gaming strategy can be effective. For doing this, we will build ...