1630 search results - page 226 / 326 » Coordinated Reinforcement Learning |
121
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
136
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Previous work has shown that robot navigation systems that employ an architecture based upon the idiotypic network theory of the immune system have an advantage over control techn...
133
click to vote
AAAI
2008
15 years 6 months ago
2008
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
126
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
In this paper we introduce the first algorithms for efficiently learning a simulation policy for Monte-Carlo search. Our main idea is to optimise the balance of a simulation polic...
160
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ICML
2001
IEEE
16 years 5 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...