397 search results - page 47 / 80 » Reinforcement Learning with Hierarchies of Machines |
JMLR
2002
14 years 9 months ago
2002
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
66
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We describe an algorithm for learning in the presence of multiple criteria. Our technique generalizes previous approaches in that it can learn optimal policies for all linear pref...
ECML
2007
Springer
15 years 3 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...
98
Voted
ICML
2003
IEEE
15 years 2 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 ...
ICMLA
2009
14 years 7 months ago
2009
We describe a system that successfully transfers value function knowledge across multiple subdomains of realtime strategy games in the context of multiagent reinforcement learning....