1799 search results - page 75 / 360 » Filtered Reinforcement Learning |
ICSTM
2000
13 years 10 months ago
2000
Performance measurement systems based on the principle that "if you can't measure it, you can't manage it" reinforce a short-term culture by focussing on tangi...
AI
1998
Springer
13 years 8 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...
KESAMSTA
2007
Springer
14 years 3 months ago
2007
Springer
: In recent years, market forecasting by machine learning methods has been flourishing. Most existing works use a past market data set, because they assume that each trader’s in...
VLSID
2005
IEEE
14 years 2 months ago
2005
IEEE
The primary advantage of using 3D-FPGA over 2D-FPGA is that the vertical stacking of active layers reduce the Manhattan distance between the components in 3D-FPGA than when placed...
PRICAI
1999
Springer
14 years 1 months ago
1999
Springer
Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...