82 search results - page 10 / 17 » Practical Reinforcement Learning in Continuous Spaces |
ICRA
2010
IEEE
13 years 7 months ago
2010
IEEE
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
ML
2002
ACM
13 years 8 months ago
2002
ACM
Solving in an efficient manner many different optimal control tasks within the same underlying environment requires decomposing the environment into its computationally elemental ...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
We introduce flexible algorithms that can automatically learn mappings from images to actions by interacting with their environment. They work by introducing an image classifier i...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...