159 search results - page 24 / 32 » Module-Based Reinforcement Learning: Experiments with a Real... |
ICRA
2009
IEEE
14 years 3 months ago
2009
IEEE
— In this paper, we present an approach that allows a robot to observe, generalize, and reproduce tasks observed from multiple demonstrations. Motion capture data is recorded in ...
AGENTS
1998
Springer
14 years 24 days ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
Legged robots are useful in tasks such as search and rescue because they can effectively navigate on rugged terrain. However, it is difficult to design controllers for them that ...
AGENTS
2001
Springer
14 years 1 months ago
2001
Springer
Rodents possess extraordinary navigation abilities that are far in excess of what current state-of-the-art robot agents are capable of. This paper describes research that is part ...
NIPS
2007
13 years 10 months ago
2007
The control of high-dimensional, continuous, non-linear dynamical systems is a key problem in reinforcement learning and control. Local, trajectory-based methods, using techniques...