1270 search results - page 46 / 254 » Dogged Learning for Robots |
ROBOCUP
2000
Springer
14 years 8 days ago
2000
Springer
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
CONNECTION
2006
13 years 8 months ago
2006
This article describes a developmental system based on information theory implemented on a real robot that learns a model of its own sensory and actuator apparatus. There is no in...
CIRA
2007
IEEE
14 years 3 months ago
2007
IEEE
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
ROBOCUP
1998
Springer
14 years 27 days ago
1998
Springer
The Osaka Legged Robot Team, BabyTigers-98, attended the First Sony Legged Robot Competition and Demonstration which was held at La Cite La Villeta, a science and technology museum...
GECCO
2004
Springer
14 years 2 months ago
2004
Springer
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...