5 search results - page 1 / 1 » Transfer of knowledge for a climbing Virtual Human: A reinfo... |
ICRA
2009
IEEE
13 years 12 months ago
2009
IEEE
— In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting tran...
ECML
2005
Springer
13 years 11 months ago
2005
Springer
We present a method for transferring knowledge learned in one task to a related task. Our problem solvers employ reinforcement learning to acquire a model for one task. We then tra...
KCAP
2009
ACM
13 years 12 months ago
2009
ACM
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
A general game player is an agent capable of taking as input a description of a game’s rules in a formal language and proceeding to play without any subsequent human input. To do...
ATAL
2006
Springer
13 years 9 months ago
2006
Springer
This paper proposes an efficient agent for competing in Cliff Edge (CE) environments, such as sealed-bid auctions, dynamic pricing and the ultimatum game. The agent competes in on...