163 search results - page 2 / 33 » Policy Gradient Methods for Robotics |
CIS
2005
Springer
14 years 17 days ago
2005
Springer
Recently, actor-critic methods have drawn much interests in the area of reinforcement learning, and several algorithms have been studied along the line of the actor-critic strategy...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
IDEAL
2004
Springer
14 years 11 days ago
2004
Springer
The main aim of this paper is to extend the single-agent policy gradient method for multiagent domains where all agents share the same utility function. We formulate these team pro...
NIPS
2008
13 years 8 months ago
2008
Many motor skills in humanoid robotics can be learned using parametrized motor primitives as done in imitation learning. However, most interesting motor learning problems are high...
JMLR
2010
13 years 1 months ago
2010
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...