Ronald J. Williams

E248157

Ronald J. Williams is a computer scientist known for his influential contributions to neural networks and machine learning, particularly in the development of backpropagation and reinforcement learning algorithms.

All labels observed (1)

Label Occurrences
Ronald J. Williams canonical 2

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Statements (33)

Predicate Object
instanceOf computer scientist
reinforcement learning algorithm
researcher
scientific article
appliesTo stochastic neural networks
associatedWithConcept gradient-following reinforcement learning
stochastic gradient ascent in expected reward
author Ronald J. Williams self-linksurface differs
coAuthorOf REINFORCE
surface form: “Simple statistical gradient-following algorithms for connectionist reinforcement learning”
contributedTo development of policy gradient methods in reinforcement learning
theoretical foundations of neural network learning rules
understanding of credit assignment in neural networks
developed REINFORCE
surface form: REINFORCE learning rule
fieldOfWork computer science
machine learning
neural networks
reinforcement learning
reinforcement learning
hasCitationalImpactOn neural network training methods
policy gradient reinforcement learning literature
hasGender male
hasNotability pioneering work in neural network reinforcement learning
hasResearchInterest connectionist models
learning algorithms
probabilistic neural networks
influenced research in deep reinforcement learning
research on gradient-based learning in stochastic networks
knownFor REINFORCE
surface form: REINFORCE algorithm

work on stochastic gradient learning in neural networks
notableFor contributions to backpropagation algorithms
contributions to reinforcement learning algorithms
publicationLanguage English
usesMethod backpropagation of error

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Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

“Learning representations by back-propagating errors” author Ronald J. Williams
subject surface form: Learning representations by back-propagating errors
Ronald J. Williams author Ronald J. Williams self-linksurface differs
subject surface form: “Simple statistical gradient-following algorithms for connectionist reinforcement learning”