1233 search results - page 90 / 247 » Feudal Reinforcement Learning |
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
CORR
2000
Springer
13 years 7 months ago
2000
Springer
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
RAS
2010
13 years 6 months ago
2010
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
AIED
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. While high interactivity has been one of the main characteristics of oneon-one human tutoring, a great deal of controversy surrounds the issue of whether interactivity is...
NIPS
1994
13 years 9 months ago
1994
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...