—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...
— 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 ...
— 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...
Delivery of content in networking and system administration curricula involves significant hands-on laboratory experience supplementing traditional classroom instruction at the Ro...
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...