ICML
1998
IEEE
14 years 3 months ago
1998
IEEE
Many systems that learn from examples express the learned concept as a disjunction. Those disjuncts that cover only a few examples are referred to as small disjuncts. The problem ...
ICML
1998
IEEE
14 years 4 months ago
1998
IEEE
We present and solve a real-world problem of learning to drive a bicycle. We solve the problem by online reinforcement learning using the Sarsa( )-algorithm. Then we solve the ...
ICML
1998
IEEE
15 years 1 months ago
1998
IEEE
ICML
1998
IEEE
15 years 1 months ago
1998
IEEE
tion Learning about Temporally Abstract Actions Richard S. Sutton Department of Computer Science University of Massachusetts Amherst, MA 01003-4610 rich@cs.umass.edu Doina Precup D...
ICML
1998
IEEE
15 years 1 months ago
1998
IEEE
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
ICML
1998
IEEE
15 years 1 months ago
1998
IEEE
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
ICML
1998
IEEE
15 years 1 months ago
1998
IEEE
ICML
1998
IEEE
15 years 1 months ago
1998
IEEE
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
ICML
1998
IEEE
15 years 1 months ago
1998
IEEE
We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learnin...
ICML
1998
IEEE
15 years 1 months ago
1998
IEEE
Three factors are related in analyses of performance curves such as learning curves: the amount of training, the learning algorithm, and performance. Often we want to know whether...