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Computing & AI · Source-linked note

Gorila: distributed actors, learners and parameters for deep Q-learning

Distributed experience generation, replay, gradient computation and parameter storage across actor/learner processes to scale deep Q-network training.

What is recorded here?

Distributed experience generation, replay, gradient computation and parameter storage across actor/learner processes to scale deep Q-network training.

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

Scientific scope

Inherits DQN, replay and parameter-server/distributed optimization designs. This original Gorila architecture is distinct from later IMPALA/Ape-X but does not establish optimal scaling or communication-free learning; wall-clock comparisons use substantial parallel resources.

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People and systems

Arun Nair; Praveen Srinivasan; Sam Blackwell; Cagdas Alcicek; Rory Fearon; Alessandro De Maria; Vedavyas Panneershelvam; Mustafa Suleyman; Charles Beattie; Stig Petersen; Shane Legg; Volodymyr Mnih; Koray Kavukcuoglu; David Silver

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

Gorila: distributed actors, learners and parameters for deep Q-learning

Distributed experience generation, replay, gradient computation and parameter storage across actor/learner processes to scale deep Q-network training.

Scientific scope

Inherits DQN, replay and parameter-server/distributed optimization designs. This original Gorila architecture is distinct from later IMPALA/Ape-X but does not establish optimal scaling or communication-free learning; wall-clock comparisons use substantial parallel resources.

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

Arun Nair; Praveen Srinivasan; Sam Blackwell; Cagdas Alcicek; Rory Fearon; Alessandro De Maria; Vedavyas Panneershelvam; Mustafa Suleyman; Charles Beattie; Stig Petersen; Shane Legg; Volodymyr Mnih; Koray Kavukcuoglu; David Silver

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