509 search results - page 81 / 102 » Compositional Models for Reinforcement Learning |
IROS
2007
IEEE
14 years 3 months ago
2007
IEEE
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
ECML
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. Many complex control problems are not amenable to traditional controller design. Not only is it difficult to model real systems, but often it is unclear what kind of beha...
AAAI
2010
13 years 11 months ago
2010
Embedded systems consisting of collaborating agents capable of interacting with their environment are becoming ubiquitous. It is crucial for these systems to be able to adapt to t...
ISAMI
2010
13 years 7 months ago
2010
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
ICML
1999
IEEE
14 years 10 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...