69 search results - page 13 / 14 » PAC-Bayesian Policy Evaluation for Reinforcement Learning |
AAAI
2000
13 years 7 months ago
2000
We have constructed ADVISOR, a two-agent machine learning architecture for intelligent tutoring systems (ITS). The purpose of this architecture is to centralize the reasoning of a...
JNW
2006
13 years 6 months ago
2006
In ad hoc wireless LANs populated by mutually impenetrable groups of anonymous stations, honest stations are prone to "bandwidth stealing" by selfish stations. The proble...
IAT
2010
IEEE
13 years 4 months ago
2010
IEEE
It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems. In t...
JMLR
2006
13 years 6 months ago
2006
Policy search is a method for approximately solving an optimal control problem by performing a parametric optimization search in a given class of parameterized policies. In order ...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...