2566 search results - page 29 / 514 » Relating reinforcement learning performance to classificatio... |
149
Voted
MCS
2010
Springer
15 years 1 months ago
2010
Springer
Multilabel classification is a challenging research problem in which each instance is assigned to a subset of labels. Recently, a considerable amount of research has been concerned...
144
Voted
CEC
2010
IEEE
15 years 4 months ago
2010
IEEE
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
134
Voted
NIPS
2008
15 years 5 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
110
Voted
COLT
2000
Springer
15 years 8 months ago
2000
Springer
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
150
Voted
JAIR
2000
15 years 3 months ago
2000
This paper describes a novel method by which a spoken dialogue system can learn to choose an optimal dialogue strategy from its experience interacting with human users. The method...