1047 search results - page 29 / 210 » Learning the required number of agents for complex tasks |
193
click to vote
TNN
2010
15 years 26 days ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
162
click to vote
AIED
2007
Springer
16 years 10 days ago
2007
Springer
We have developed environments that use teaching as a metacognitive, reflective, and iterative process to help middle school students learn about complex processes. We demonstrate ...
160
click to vote
KES
2004
Springer
15 years 11 months ago
2004
Springer
This paper presents a novel method for on-line coordination in multiagent reinforcement learning systems. In this method a reinforcement-learning agent learns to select its action ...
163
click to vote
COLT
2000
Springer
15 years 10 months ago
2000
Springer
We investigate the computational complexity of the task of detecting dense regions of an unknown distribution from un-labeled samples of this distribution. We introduce a formal l...
148
click to vote
MA
1999
Springer
15 years 10 months ago
1999
Springer
In order to maintain their performance in a dynamic environment, agents may be required to modify their learning behavior during run-time. If an agent utilizes a rule-based system...