1047 search results - page 30 / 210 » Learning the required number of agents for complex tasks |
AAAI
1997
13 years 9 months ago
1997
In many real-world domains, supervised learning requires a large number of training examples. In this paper, we describe an active learning method that uses a committee of learner...
FLAIRS
1998
13 years 9 months ago
1998
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
IJCAI
2007
13 years 9 months ago
2007
The options framework provides a method for reinforcement learning agents to build new high-level skills. However, since options are usually learned in the same state space as the...
ALT
2002
Springer
14 years 4 months ago
2002
Springer
The general dimension is a combinatorial measure that characterizes the number of queries needed to learn a concept class. We use this notion to show that any p-evaluatable concep...
ATAL
2003
Springer
14 years 28 days ago
2003
Springer
A team of agents planning to perform a complex task make a number of interrelated decisions as they determine precisely how that complex task will be performed. The decision set i...