164 search results - page 9 / 33 » Self-Optimizing Memory Controllers: A Reinforcement Learning... |
FLAIRS
2004
13 years 9 months ago
2004
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
IAT
2003
IEEE
14 years 24 days ago
2003
IEEE
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
COLT
2000
Springer
13 years 12 months ago
2000
Springer
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
ICRA
2003
IEEE
14 years 24 days ago
2003
IEEE
− A behavior-based control and learning architecture is proposed, where reinforcement learning is applied to learn proper associations between stimulus and response by using two ...
ECML
2006
Springer
13 years 9 months ago
2006
Springer
In this article, I will consider Markov Decision Processes with two criteria, each defined as the expected value of an infinite horizon cumulative return. The second criterion is e...