ICMLA
2004
14 years 28 days ago
2004
In some environments, a learning agent must learn to balance competing objectives. For example, a Q-learner agent may need to learn which choices expose the agent to risk and whic...
ROBOCUP
2004
Springer
14 years 4 months ago
2004
Springer
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
ATAL
2005
Springer
14 years 5 months ago
2005
Springer
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...
ROBOCUP
2007
Springer
14 years 5 months ago
2007
Springer
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...