56 search results - page 2 / 12 » Analytical Design of Reinforcement Learning Tasks |
ICRA
1994
IEEE
13 years 8 months ago
1994
IEEE
Within the field of robotics, much recent attention has been given to control techniques that have been termed reactive or behavior-based. The design of such control systems for e...
GECCO
2000
Springer
13 years 8 months ago
2000
Springer
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
ROBOCUP
2007
Springer
13 years 11 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
ICRA
2010
IEEE
13 years 3 months ago
2010
IEEE
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...