Leveraging attention focus for effective reinforcement learning in complex domains

Leveraging attention focus for effective reinforcement learning in complex domains

One of the hardest challenges in the field of machine learning is to build agents, such as robotic assistants in homes and hospitals, that can autonomously learn new tasks that they were not pre-programmed to tackle, without the intervention of an engineer. Reinforcement learning (RL) and learning f...

Full description

Bibliographic Details
Main Author: Cobo Rus, Luis Carlos
Published: Georgia Institute of Technology 2013
Subjects:
Reinforcement learning
Learning from demonstration
Dimensionality reduction
Machine learning
Stochastic processes
Autonomous robots
Robots
Intelligent agents (Computer software)
Online Access:http://hdl.handle.net/1853/47618

Internet

http://hdl.handle.net/1853/47618

Similar Items