130 search results - page 10 / 26 » Mobile robot learning by evolution of fuzzy controller |
ICRA
1998
IEEE
13 years 12 months ago
1998
IEEE
This paper discusses how a robot can develop its state vector according to the complexity of the interactions with its environment. A method for controlling the complexity is prop...
ICRA
2003
IEEE
14 years 26 days ago
2003
IEEE
− A behavior-based control and learning architecture is proposed, where reinforcement learning is applied to learn proper associations between stimulus and response by using two ...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Cyclic genetic algorithms can be used to generate single loop control programs for robots. While successful in generating controllers for individual leg movement, gait generation,...
ICRA
2005
IEEE
14 years 1 months ago
2005
IEEE
— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
CEC
2005
IEEE
13 years 9 months ago
2005
IEEE
Simulated evolution by the use of Genetic Algorithms (GA) is presented as the solution to a twofaceted problem: the challenge for an autonomous agent to learn the reactive componen...