109 search results - page 1 / 22 » Neural Reinforcement Learning Controllers for a Real Robot A... |
ICRA
2007
IEEE
13 years 11 months ago
2007
IEEE
— Accurate and fast control of wheel speeds in the presence of noise and nonlinearities is one of the crucial requirements for building fast mobile robots, as they are required i...
FBIT
2007
IEEE
13 years 11 months ago
2007
IEEE
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
EVOW
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
FLAIRS
2004
13 years 6 months ago
2004
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
ICANN
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...