181 search results - page 3 / 37 » On Policy Learning in Restricted Policy Spaces |
EWRL
2008
13 years 9 months ago
2008
Policy Learning approaches are among the best suited methods for high-dimensional, continuous control systems such as anthropomorphic robot arms and humanoid robots. In this paper,...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
MDPs are an attractive formalization for planning, but realistic problems often have intractably large state spaces. When we only need a partial policy to get from a fixed start s...
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
DBSEC
2008
13 years 9 months ago
2008
One truth holds for the healthcare industry - nothing should interfere with the delivery of care. Given this fact, the access control mechanisms used in healthcare to regulate and ...