What is recorded here?
Combines recurrent Q-learning and prioritized distributed sequence replay, storing recurrent states and using burn-in to reduce training-state mismatch and representational staleness.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record concerns the published recurrent-replay method, rather than a mixture of draft-specific performance figures. It builds on Ape-X, DQN, recurrent networks and prioritized replay. Burn-in and stored states mitigate staleness empirically; they do not guarantee convergence or recovery of an arbitrary complete history.
Read the original work
- Recurrent Experience Replay in Distributed Reinforcement Learning —18-page review draft
- Recurrent Experience Replay in Distributed Reinforcement Learning — author publication record
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People and systems
Steven Kapturowski; Georg Ostrovski; John Quan; Rémi Munos; Will Dabney
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
R2D2 recurrent experience replay with stored state and burn-in
Combines recurrent Q-learning and prioritized distributed sequence replay, storing recurrent states and using burn-in to reduce training-state mismatch and representational staleness.
Scientific scope
The record concerns the published recurrent-replay method, rather than a mixture of draft-specific performance figures. It builds on Ape-X, DQN, recurrent networks and prioritized replay. Burn-in and stored states mitigate staleness empirically; they do not guarantee convergence or recovery of an arbitrary complete history.
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
Steven Kapturowski; Georg Ostrovski; John Quan; Rémi Munos; Will Dabney
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.