606 search results - page 59 / 122 » Least-Commitment Action Selection |
IVA
2010
Springer
13 years 6 months ago
2010
Springer
We describe a new organization for virtual human responses to dynamically occurring events. In our approach behavioral responses are enumerated in the representation of the event i...
ICRA
2010
IEEE
13 years 6 months ago
2010
IEEE
Reliable and efficient navigation with a humanoid robot is a difficult task. First, the motion commands are executed rather inaccurately due to backlash in the joints or foot slipp...
EUROCAST
2007
Springer
14 years 2 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
IWANN
1999
Springer
14 years 11 days ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
IROS
2008
IEEE
14 years 2 months ago
2008
IEEE
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...