73 search results - page 2 / 15 » Autonomous shaping: knowledge transfer in reinforcement lear... |
AGI
2008
13 years 6 months ago
2008
In order to claim fully general intelligence in an autonomous agent, the ability to learn is one of the most central capabilities. Classical machine learning techniques have had ma...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
AAAI
2007
13 years 7 months ago
2007
ECML
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we investigate the relation between transfer learning in reinforcement learning with function approximation and supervised learning with concept drift. We present a n...
IJCAI
2007
13 years 6 months ago
2007
We present a reinforcement learning game player that can interact with a General Game Playing system and transfer knowledge learned in one game to expedite learning in many other ...