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Reinforcement learning

Known as: RL, Actor critic architecture, Reward function 
Reinforcement learning is an area of machine learning inspired by behaviorist psychology, concerned with how software agents ought to take actions in… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
We propose a framework for solving combinatorial optimization problems of which the output can be represented as a sequence of… 
Highly Cited
2017
Highly Cited
2017
Crowdsensing offers an efficient way to meet the demand in large-scale sensing applications. In crowdsensing, optimal task… 
Highly Cited
2008
Highly Cited
2008
A large sample of vowels produced by male and female speakers were inverse filtered and parameterized using 21 different glottal… 
Highly Cited
2008
Highly Cited
2008
This paper addresses the challenge of assigning virtual networks, through network virtualisation, to the underlying physical… 
Highly Cited
1999
Highly Cited
1999
Many factors influence the teaching of science by beginning teachers in elementary schools. They have to confront a myriad of… 
Highly Cited
1998
Highly Cited
1998
  • L. Zadeh
  • 1998
  • Corpus ID: 9314136
A fuzzy algorithm is an ordered set of fuzzy instructions that upon execution yield an approximate solution to a given problem… 
Highly Cited
1991
Highly Cited
1991
The California bearing ratio (CBR) of a micaceous silt, common to the Piedmont in the southeastern United States, was…