95 search results - page 18 / 19 » Policy Gradients for Cryptanalysis |
ATAL
2007
Springer
13 years 12 months ago
2007
Springer
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
JMLR
2010
13 years 16 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...
DAC
2009
ACM
14 years 17 days ago
2009
ACM
It is known that temperature gradients and thermal hotspots affect the reliability of microprocessors. Temperature is also an important constraint when maximizing the performance...
ICRA
2008
IEEE
14 years 5 days ago
2008
IEEE
Abstract— The widespread success of sampling-based planning algorithms stems from their ability to rapidly discover the connectivity of a configuration space. Past research has ...
AI
2007
Springer
13 years 12 months ago
2007
Springer
Agent competition and coordination are two classical and most important tasks in multiagent systems. In recent years, there was a number of learning algorithms proposed to resolve ...