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Computing & AI · Source-linked note

Watkins and Dayan: convergence of Q-learning

Presented Q-learning and proved convergence under stated conditions for discrete Markovian settings.

What is recorded here?

Presented Q-learning and proved convergence under stated conditions for discrete Markovian settings.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Watkins outlined the algorithm in his 1989 thesis; this record is specifically the 1992 two-author convergence paper and does not claim general deep-RL convergence.

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People and systems

Christopher J. C. H. Watkins; Peter Dayan

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

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Documented countries / regions: United Kingdom

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English catalogue narrative

Watkins and Dayan: convergence of Q-learning

Presented Q-learning and proved convergence under stated conditions for discrete Markovian settings.

Scientific scope

Watkins outlined the algorithm in his 1989 thesis; this record is specifically the 1992 two-author convergence paper and does not claim general deep-RL convergence.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Christopher J. C. H. Watkins; Peter Dayan

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

Original sources