165 search results - page 2 / 33 » Exploration and apprenticeship learning in reinforcement lea... |
NN
2010
Springer
13 years 6 days ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
SIGGRAPH
2010
ACM
13 years 10 months ago
2010
ACM
We present a method for inferring the behavior styles of character controllers from a small set of examples. We show that a rich set of behavior variations can be captured by dete...
NIME
2004
Springer
13 years 10 months ago
2004
Springer
When envisaging new digital instruments, designers do not have to limit themselves to their sonic capabilities (which can be absolutely any), not even to their algorithmic power; ...
Publication
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE