1393 search results - page 110 / 279 » Machine Learning by Function Decomposition |
96
Voted
ICML
2008
IEEE
16 years 2 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...
85
Voted
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
123
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
102
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ECML
2007
Springer
15 years 8 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...
130
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COLT
2001
Springer
15 years 6 months ago
2001
Springer
We show that the class of monotone 2O( √ log n)-term DNF formulae can be PAC learned in polynomial time under the uniform distribution from random examples only. This is an expo...