435 search results - page 4 / 87 » Methods to Learn Abstract Scheduling Models |
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
ANOR
2011
13 years 2 months ago
2011
Abstract. Scheduling problems in the forest industry have received significant attention in the recent years and have contributed many challenging applications for optimization te...
WIA
1999
Springer
13 years 11 months ago
1999
Springer
Abstract. In computer science methods to aid learning are very imporcause abstract models are used frequently. For this conventional teaching methods do not suffice. We have develo...
EDUTAINMENT
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. We describe methods for high-performance and high-quality rendering of point models, including advanced shading, anti-aliasing, and transparency. we keep the rendering qu...
IWANN
2001
Springer
13 years 12 months ago
2001
Springer
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...