1262 search results - page 100 / 253 » Reinforcement Learning: An Introduction |
91
Voted
FLAIRS
2003
15 years 1 months ago
2003
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
90
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
94
Voted
MLDM
2005
Springer
15 years 5 months ago
2005
Springer
This paper uses a set of 3D geometric measures with the purpose of characterizing lung nodules as malignant or benign. Based on a sample of 36 nodules, 29 benign and 7 malignant, t...
104
Voted
EUROCAST
2007
Springer
15 years 6 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
106
Voted
CG
2000
Springer
15 years 4 months ago
2000
Springer
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...