32 search results - page 4 / 7 » Batch Reinforcement Learning with State Importance |
93
Voted
ICAC
2008
IEEE
15 years 3 months ago
2008
IEEE
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
86
Voted
NIPS
1996
14 years 10 months ago
1996
In cellular telephone systems, an important problem is to dynamically allocate the communication resource channels so as to maximize service in a stochastic caller environment. Th...
ECAL
2005
Springer
15 years 3 months ago
2005
Springer
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
155
click to vote
NIPS
2008
14 years 11 months ago
2008
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
IROS
2008
IEEE
15 years 3 months ago
2008
IEEE
Abstract. Both self-learning architecture (embedded structure) and explicit/implicit teaching from other agents (environmental design issue) are necessary not only for one behavior...