724 search results - page 145 / 145 » Discrete Rate Simulation using linear programming |
AI
1998
Springer
13 years 5 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...
IWMM
2007
Springer
13 years 11 months ago
2007
Springer
Past studies have shown that objects are created and then die in phases. Thus, one way to sustain good garbage collection efficiency is to have a large enough heap to allow many ...
JMLR
2010
13 years 1 days ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
BROADNETS
2004
IEEE
13 years 9 months ago
2004
IEEE
Channel-aware scheduling and link adaptation (LA) methods are widely considered to be crucial for realizing high data rates in wireless networks. Multi-carrier systems that spread...