Research
On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

Trend · papers per month

count% of corpus
0.3%0.5%0.8%0.1% · Nov 201819922001200920182026
2 results for “microworlds”
Importance Resampling for Off-policy Predictioncs.LG

A new resampling strategy, Importance Resampling, improves sample efficiency and reduces variance in off-policy prediction.

problem High variance updates in importance sampling for off-policy prediction.
method Importance Resampling (IR) resamples experience from a replay buffer and applies standard on-policy updates, avoiding importance sampling ratios.
result Importance Resampling (IR) shows improved sample efficiency and lower variance updates compared to other methods.
reinforcement learningimportance samplingoff-policy predictionresamplingvariance reduction
2019-06-11abs ↗pdf ↗