2566 search results - page 48 / 514 » Relating reinforcement learning performance to classificatio... |
146
click to vote
AI
1998
Springer
14 years 11 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
123
click to vote
JAIR
2002
14 years 11 months ago
2002
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
156
click to vote
CSL
2012
Springer
13 years 7 months ago
2012
Springer
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
NN
2006
Springer
14 years 11 months ago
2006
Springer
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
105
click to vote
ICML
2002
IEEE
16 years 19 days ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...