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Schulman and colleagues: proximal policy optimization

Proposed policy-gradient objectives that permit multiple minibatch update epochs while limiting destructive policy changes, and tested them on simulated control and Atari tasks.

What is recorded here?

Proposed policy-gradient objectives that permit multiple minibatch update epochs while limiting destructive policy changes, and tested them on simulated control and Atari tasks.

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

Scientific scope

The record is the 2017 five-author technical paper and its reported benchmarks. PPO variants, later theory and broad deployment claims are separate.

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People and systems

John Schulman; Filip Wolski; Prafulla Dhariwal; Alec Radford; Oleg Klimov

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

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English catalogue narrative

Schulman and colleagues: proximal policy optimization

Proposed policy-gradient objectives that permit multiple minibatch update epochs while limiting destructive policy changes, and tested them on simulated control and Atari tasks.

Scientific scope

The record is the 2017 five-author technical paper and its reported benchmarks. PPO variants, later theory and broad deployment claims are separate.

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

John Schulman; Filip Wolski; Prafulla Dhariwal; Alec Radford; Oleg Klimov

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

Original sources