1236 search results - page 109 / 248 » Opposition-Based Reinforcement Learning |
132
Voted
AAAI
2006
15 years 2 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
FLAIRS
2003
15 years 2 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...
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 ...
103
Voted
MLDM
2005
Springer
15 years 6 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...
109
Voted
EUROCAST
2007
Springer
15 years 7 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...