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.

168,742 papers · 148 categories

Trend · papers per month

count% of corpus
0.3%0.5%0.8%0.1% · May 202319922001200920172026
1 result for “MF-MBED”
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximationcs.LG

New RL algorithms achieve optimal policies with polynomial sample complexity for mean-field problems.

problem Statistical efficiency of Mean-Field Reinforcement Learning with general function approximation.
method Introduce MF-MBED to characterize problem complexity, propose algorithms based on maximal likelihood estimation.
result Rich mean-field RL problems have low MF-MBED, leading to polynomial sample complexity.
Mean-Field Reinforcement LearningMF-MBEDMaximal Likelihood EstimationPolynomial Sample Complexity
2023-05-18abs ↗pdf ↗