11910 search results - page 491 / 2382 » Online Learning Algorithms |
168
click to vote
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We consider incorporating action elimination procedures in reinforcement learning algorithms. We suggest a framework that is based on learning an upper and a lower estimates of th...
166
click to vote
AI
2008
Springer
16 years 1 months ago
2008
Springer
In this work we show that verbs reliably represent texts when machine learning algorithms are used to learn opinions. We identify semantic verb categories that capture essential pr...
159
click to vote
NIPS
2000
15 years 8 months ago
2000
We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
185
click to vote
TSD
2010
Springer
15 years 4 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
199
click to vote
AAAI
2006
15 years 8 months ago
2006
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...