163 search results - page 1 / 33 » Policy Gradient Methods for Robotics |
100
Voted
IROS
2006
IEEE
15 years 3 months ago
2006
IEEE
— The aquisition and improvement of motor skills and control policies for robotics from trial and error is of essential importance if robots should ever leave precisely pre-struc...
ICRA
2005
IEEE
15 years 3 months ago
2005
IEEE
— This paper proposes a learning framework for a CPG-based biped locomotion controller using a policy gradient method. Our goal in this study is to develop an efficient learning...
93
Voted
EWRL
2008
14 years 11 months ago
2008
Policy Learning approaches are among the best suited methods for high-dimensional, continuous control systems such as anthropomorphic robot arms and humanoid robots. In this paper,...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
NN
2010
Springer
14 years 8 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...