109 search results - page 5 / 22 » Neural Reinforcement Learning Controllers for a Real Robot A... |
NN
2010
Springer
13 years 3 months ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
ICARCV
2006
IEEE
14 years 2 months ago
2006
IEEE
— Multi-agent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, etc. Learning approaches to multi-ag...
ATAL
2005
Springer
14 years 2 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
IBERAMIA
2004
Springer
14 years 1 months ago
2004
Springer
In this paper we describe MRSCL Geometry a collaborative educational activity that explores the use of robotic technology and wirelessly connected Pocket PCs as tools for teaching ...
ICRA
2006
IEEE
14 years 2 months ago
2006
IEEE
— Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning to the proble...