164 search results - page 3 / 33 » Self-Optimizing Memory Controllers: A Reinforcement Learning... |
ICMLA
2007
13 years 6 months ago
2007
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
ICRA
2010
IEEE
13 years 3 months ago
2010
IEEE
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
EURONGI
2005
Springer
13 years 10 months ago
2005
Springer
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
IAT
2008
IEEE
13 years 11 months ago
2008
IEEE
