584 search results - page 55 / 117 » Reinforcement Learning Task Clustering |
142
Voted
FLAIRS
2009
15 years 12 days ago
2009
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
106
Voted
FLAIRS
2006
15 years 4 months ago
2006
This paper describes an investigation into the refinement of context-based human behavior models through the use of experiential learning. Specifically, a tactical agent was endow...
142
Voted
APWEB
2010
Springer
15 years 2 months ago
2010
Springer
Binary semantic relation extraction is particularly useful for various NLP and Web applications. Currently Webbased methods and Linguistic-based methods are two types of leading me...
173
Voted
AAMAS
2005
Springer
15 years 2 months ago
2005
Springer
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
126
Voted
IBERAMIA
2010
Springer
15 years 1 months ago
2010
Springer
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...