1233 search results - page 150 / 247 » Reinforcement learning |
95
Voted
AAAI
1997
15 years 5 months ago
1997
Recent research in machine learning has focused on supervised induction for simple classi cation and reinforcement learning for simple reactive behaviors. In the process, the eld ...
127
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SLOGICA
2008
15 years 3 months ago
2008
We study a simple game theoretic model of information transfer which we consider to be a baseline model for capturing strategic aspects of epistemological questions. In particular,...
119
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a novel technique for automated problem decomposition to address the problem of scalability in reinforcement learning. Our technique makes use of a set of near-optimal ...
114
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
120
Voted
RAS
2010
15 years 2 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...