87 search results - page 9 / 18 » Direct Policy Search Reinforcement Learning for Robot Contro... |
IROS
2007
IEEE
14 years 3 months ago
2007
IEEE
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
ICRA
2009
IEEE
14 years 3 months ago
2009
IEEE
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
NIPS
1997
13 years 10 months ago
1997
We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by hierarchies of partially specified machines. This ...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
Abstract— One of the major challenges in both action generation for robotics and in the understanding of human motor control is to learn the “building blocks of movement genera...
NN
2010
Springer
13 years 7 months ago
2010
Springer
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...