What is recorded here?
Pretrained a deep Q-network on demonstration data using temporal-difference, large-margin action-classification and regularization losses, then mixed preserved demonstrations with self-generated replay during learning.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Original v1 uses separate demonstration/agent buffers with a controlled fixed sampling proportion; do not import later prioritized-replay/n-step revisions automatically. Inherits Double DQN and supervised imitation losses. Better initial Atari performance is not a safety certificate for real systems or expert-free learning.
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People and systems
Todd Hester; Matej Vecerik; Olivier Pietquin; Marc Lanctot; Tom Schaul; Bilal Piot; Andrew Sendonaris; Gabriel Dulac-Arnold; Ian Osband; John Agapiou; Joel Z. Leibo; Audrunas Gruslys
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
DQfD: demonstration pretraining with temporal-difference and margin losses
Pretrained a deep Q-network on demonstration data using temporal-difference, large-margin action-classification and regularization losses, then mixed preserved demonstrations with self-generated replay during learning.
Scientific scope
Original v1 uses separate demonstration/agent buffers with a controlled fixed sampling proportion; do not import later prioritized-replay/n-step revisions automatically. Inherits Double DQN and supervised imitation losses. Better initial Atari performance is not a safety certificate for real systems or expert-free learning.
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
Todd Hester; Matej Vecerik; Olivier Pietquin; Marc Lanctot; Tom Schaul; Bilal Piot; Andrew Sendonaris; Gabriel Dulac-Arnold; Ian Osband; John Agapiou; Joel Z. Leibo; Audrunas Gruslys
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.