Unverified50% confidenceFactExact time
Replay Ratio (UTD) refers to the number of gradient update steps the Learner performs per step of environment data collected; standard DQN typically uses a value of 1 or lower.
1
Sources
50%
Confidence
Long-term
Relevance
9/26/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedRecent research (such as DER and SR-SAC) has attempted to push UTD up to 4, 10, or even higher in order to squeeze out greater data efficiency.65% similarUnverifiedReranking models such as Cohere Rerank and BGE-Reranker can improve retrieval accuracy (NDCG@10) by 10–20 percentage points61% similarUnverifiedGallup polls use a combination of random digit dialing (RDD) and online panels, with a standard margin of error typically controlled within ±3–4 percentage points at a 95% confidence level.59% similarVerifiedReAct's errors amplify in a chain: if the accuracy per step is p, the overall success rate after n steps is approximately p to the power of n; with a per-step accuracy of 95%, the overall success rate drops to approximately 59.9% after 10 steps and only 35.8% after 20 steps.59% similarUnverifiedTraditional gradient checkpointing trades memory savings by discarding some intermediate results from the forward pass and recomputing them during backpropagation, at the cost of approximately 30% additional computational overhead.59% similar
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