Learning automata

Learning automata is one type of Machine Learning algorithm studied since 1970s. Compared to other learning scheme, a branch of the theory of… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2010
Highly Cited
2010
The problem of inducing, learning or inferring grammars has been studied for decades, but only in recent years has grammatical… (More)
Is this relevant?
Highly Cited
2004
Highly Cited
2004
Reading is a hobby to open the knowledge windows. Besides, it can provide the inspiration and spirit to face this life. By this… (More)
Is this relevant?
Highly Cited
2004
Highly Cited
2004
The cellular learning automata, which is a combination of cellular automata, and learning automata, is a new recently introduced… (More)
Is this relevant?
Highly Cited
2002
Highly Cited
2002
The fastest learning automata (LA) algorithms currently available fall in the family of estimator algorithms introduced by… (More)
  • figure 1
  • table I
  • table II
Is this relevant?
Highly Cited
2000
Highly Cited
2000
ÐPerceptual organization offers an elegant framework to group low-level features that are likely to come from a single object. We… (More)
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2000
Highly Cited
2000
The Capacity Assignment (CA) problem focuses on finding the best possible set of capacities for the links that satisfies the… (More)
  • figure 3.1
  • table 5.1
  • table 5.1
  • table 5.1
  • figure 5.1
Is this relevant?
Highly Cited
1989
Highly Cited
1989
From the combination of knowledge and actions, someone can improve their skill and ability. It will lead them to live and work… (More)
Is this relevant?
Highly Cited
1987
Highly Cited
1987
A reinforcement scheme that is based on the linear reward-inaction updating algorithm is presented for a learning automaton whose… (More)
  • table I
  • table II
  • table III
Is this relevant?
Highly Cited
1985
Highly Cited
1985
A class of learning tasks is described that combines aspects of learning automation tasks and supervised learning pattern… (More)
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Review
1974
Review
1974
Stochastic automata operating in an unknown random can be considered to show learning behavior. Tsypkin environment have been… (More)
  • figure 3
  • figure 4
Is this relevant?