1407 search results - page 19 / 282 » Learning Abstract Scheduling Models |
ISTA
2003
14 years 8 days ago
2003
: A growing number of universities and companies are now becoming focused on promoting learning that is not merely instrumental. These aspirations refer to deep learning, transform...
AI
1998
Springer
13 years 10 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...
ICNC
2005
Springer
14 years 4 months ago
2005
Springer
Abstract. Humans have the ability to flexibly adjust their information processing strategy according to situational characteristics. However, such ability has been largely overloo...
IJCAI
2003
14 years 9 days ago
2003
This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...
GECCO
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. The need for supporting CSCW applications with heterogeneous and varying user requirements calls for adaptive and reconfigurable schedulers accommodating a mixture of re...