1235 search results - page 63 / 247 » Reinforcement learning in a nutshell |
EVOW
2003
Springer
14 years 3 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 ...
AUSAI
2008
Springer
14 years 2 days ago
2008
Springer
In this paper the notion of a partial-order plan is extended to task-hierarchies. We introduce the concept of a partial-order taskhierarchy that decomposes a problem using multi-ta...
ILP
2007
Springer
14 years 4 months ago
2007
Springer
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
IJCM
2008
13 years 10 months ago
2008
This paper investigates a learning control using iterative error compensation for uncertain systems to enhance the precision of high speed, computer controlled machining process. ...
NECO
2010
13 years 8 months ago
2010
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...