89 search results - page 8 / 18 » Learning with Continuous Experts Using Drifting Games |
ACMACE
2005
ACM
14 years 2 months ago
2005
ACM
Building upon research on motivation theory, we provide insights on how video games can be framed as expert tools that naturally reconcile learning and fun, a worthy goal since st...
AI
2008
Springer
13 years 8 months ago
2008
Springer
In this paper, we describe a novel bidding strategy that autonomous trading agents can use to participate in Continuous Double Auctions (CDAs). Our strategy is based on both short...
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 ...
AIIDE
2006
13 years 10 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
IJCAI
2007
13 years 10 months ago
2007
We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...