1235 search results - page 63 / 247 » Reinforcement learning in a nutshell |
145
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EVOW
2003
Springer
15 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 ...
134
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AUSAI
2008
Springer
15 years 6 months 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...
165
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ILP
2007
Springer
15 years 10 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 ...
135
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IJCM
2008
15 years 4 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. ...
123
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NECO
2010
15 years 2 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...