827 search results - page 68 / 166 » Variational methods for Reinforcement Learning |
ICALT
2007
IEEE
14 years 2 months ago
2007
IEEE
The article presents the PLExus prototype, a Personal Learning Environment based on the semantic technology of topic maps. Semantic-based navigation in e-learning will enable vari...
AGI
2008
13 years 9 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...
ECML
2007
Springer
14 years 1 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...
CIG
2005
IEEE
14 years 1 months ago
2005
IEEE
A newly designed game is introduced, which feels like Backgammon, but has a simplified rule set. Unlike earlier attempts at simplifying the game, Nannon maintains enough features a...
ICML
2003
IEEE
14 years 1 months ago
2003
IEEE
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...