377 search results - page 9 / 76 » Optimizing Production Manufacturing Using Reinforcement Lear... |
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
WSC
2000
13 years 8 months ago
2000
A graphical discrete event simulation library is proposed for system simulation that is based on interacting concurrent processes. This library works with EXTEND (Imagine That Inc...
NIPS
2008
13 years 8 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 ...
ICANN
2009
Springer
14 years 1 months ago
2009
Springer
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
IEEECIT
2006
IEEE
14 years 1 months ago
2006
IEEE
Efficient and robust routing is central to wireless sensor networks (WSN) that feature energy-constrained nodes, unreliable links, and frequent topology change. While most existi...