159 search results - page 18 / 32 » Module-Based Reinforcement Learning: Experiments with a Real... |
RAS
2010
13 years 7 months ago
2010
Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...
CCIA
2010
Springer
13 years 3 months ago
2010
Springer
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...
IROS
2006
IEEE
14 years 2 months ago
2006
IEEE
— This paper presents a hybrid control architecture for autonomous robotic fishes which are able to swim and navigate in unknown or dynamically changing environments. It has a t...
CSL
2012
Springer
12 years 4 months ago
2012
Springer
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
ML
1998
ACM
13 years 8 months ago
1998
ACM
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...