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Computing & AI · Source-linked note

A3C and asynchronous neural actor-learners

Ran parallel actor-learners with asynchronous gradient updates to decorrelate online experience, developing asynchronous variants of value-learning and advantage actor-critic methods without relying on a replay buffer.

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Ran parallel actor-learners with asynchronous gradient updates to decorrelate online experience, developing asynchronous variants of value-learning and advantage actor-critic methods without relying on a replay buffer.

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

Scientific scope

The method builds on actor-critic learning, temporal-difference updates and distributed computation. Reported CPU-training, game and control gains apply to the tested configurations; they are not a global convergence guarantee for arbitrary nonlinear policies.

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People and systems

Volodymyr Mnih; Adrià Puigdomènech Badia; Mehdi Mirza; Alex Graves; Tim Harley; Timothy P. Lillicrap; David Silver; Koray Kavukcuoglu

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

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English catalogue narrative

A3C and asynchronous neural actor-learners

Ran parallel actor-learners with asynchronous gradient updates to decorrelate online experience, developing asynchronous variants of value-learning and advantage actor-critic methods without relying on a replay buffer.

Scientific scope

The method builds on actor-critic learning, temporal-difference updates and distributed computation. Reported CPU-training, game and control gains apply to the tested configurations; they are not a global convergence guarantee for arbitrary nonlinear policies.

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

Volodymyr Mnih; Adrià Puigdomènech Badia; Mehdi Mirza; Alex Graves; Tim Harley; Timothy P. Lillicrap; David Silver; Koray Kavukcuoglu

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources