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IROS
2006
IEEE
113views Robotics» more  IROS 2006»
13 years 11 months ago
Policy Gradient Methods for Robotics
— 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...
Jan Peters, Stefan Schaal
ICRA
2005
IEEE
159views Robotics» more  ICRA 2005»
13 years 11 months ago
Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion
— 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...
Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, ...
ECML
2005
Springer
13 years 10 months ago
Natural Actor-Critic
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...
Jan Peters, Sethu Vijayakumar, Stefan Schaal
CIS
2005
Springer
13 years 10 months ago
An RLS-Based Natural Actor-Critic Algorithm for Locomotion of a Two-Linked Robot Arm
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...
Jooyoung Park, Jongho Kim, Daesung Kang
NIPS
2007
13 years 6 months ago
Incremental Natural Actor-Critic Algorithms
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...
Shalabh Bhatnagar, Richard S. Sutton, Mohammad Gha...