343 search results - page 51 / 69 » Action discovery for reinforcement learning |
PPSN
2004
Springer
15 years 3 months ago
2004
Springer
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
103
click to vote
TSMC
2008
14 years 8 months ago
2008
This paper explores the issues faced in creating a sys-4 tem that can learn tactical human behavior merely by observing5 a human perform the behavior in a simulation. More specific...
AVSS
2006
IEEE
15 years 3 months ago
2006
IEEE
In this paper we report on techniques for automatically learning foveal sensing strategies for an active pan-tiltzoom camera. The approach uses reinforcement learning to discover ...
ICRA
2010
IEEE
14 years 7 months ago
2010
IEEE
Reliable and efficient navigation with a humanoid robot is a difficult task. First, the motion commands are executed rather inaccurately due to backlash in the joints or foot slipp...
ATAL
2010
Springer
14 years 10 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...