615 search results - page 4 / 123 » A social reinforcement learning agent |
AIIDE
2008
13 years 8 months ago
2008
Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
ATAL
2006
Springer
13 years 9 months ago
2006
Springer
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
ICTAI
2007
IEEE
14 years 3 days ago
2007
IEEE
Multiagent learning attracts much attention in the past few years as it poses very challenging problems. Reinforcement Learning is an appealing solution to the problems that arise...
AAAI
2010
13 years 7 months ago
2010
AAMAS
2002
Springer
13 years 5 months ago
2002
Springer
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...