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» Learning in Hyperlinked Environments
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87
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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 5 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
ICRA
2006
IEEE
124views Robotics» more  ICRA 2006»
15 years 5 months ago
Mobile Robot Programming in Education
— The Mobile Robot Programming Laboratory course has been taught at Carnegie Mellon University for the past twelve years. It is a problem-driven class designed for students with ...
Jean-François Lalonde, Christopher P. Bartl...
IROS
2006
IEEE
113views Robotics» more  IROS 2006»
15 years 5 months ago
Policy Gradient Methods for Robotics
— The aquisition and improvement of motor skills and control policies for robotics from trial and error is of essential importance if robots should ever leave precisely pre-struc...
Jan Peters, Stefan Schaal
SIGITE
2006
ACM
15 years 5 months ago
Does a virtual networking laboratory result in similar student achievement and satisfaction?
Delivery of content in networking and system administration curricula involves significant hands-on laboratory experience supplementing traditional classroom instruction at the Ro...
Edith A. Lawson, William Stackpole
95
Voted
GECCO
2006
Springer
175views Optimization» more  GECCO 2006»
15 years 3 months ago
A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism
Two mathematical and two computational theories from the field of human and animal learning are combined to produce a more general theory of adaptive behavior. The cornerstone of ...
J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule...