335 search results - page 9 / 67 » Learning Simulation Control in General Game-Playing Agents |
ATAL
2009
Springer
14 years 1 months ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
ICRA
2009
IEEE
14 years 1 months ago
2009
IEEE
— We provide a general approach for learning robotic motor skills from human demonstration. To represent an observed movement, a non-linear differential equation is learned such ...
ATAL
2005
Springer
13 years 8 months ago
2005
Springer
The paper provides an overview of the agent-based solutions developed by the Rockwell Automation company for the purposes of industrial control. Using agent-based manufacturing co...
AIEDU
2007
13 years 6 months ago
2007
This study investigated the desirable characteristics of anthropomorphized learning-companion agents for college students. First, interviews with six undergraduates explored their ...
IJCAI
2001
13 years 8 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...