813 search results - page 20 / 163 » Ensemble Algorithms in Reinforcement Learning |
ECAL
2005
Springer
14 years 28 days ago
2005
Springer
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
ESOA
2006
13 years 11 months ago
2006
The research reported in this paper is concerned with assessing the usefulness of reinforcment learning (RL) for on-line calibration of parameters in evolutionary algorithms (EA). ...
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
IROS
2007
IEEE
14 years 1 months ago
2007
IEEE
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...