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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.

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2 results for “occupancy-ratio”
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learningcs.LG

Develops a method to estimate policy values robustly in the presence of confounding variables.

problem Infinite-horizon reinforcement learning with unobserved confounding variables makes policy evaluation unidentifiable.
method Robust approach estimating sharp bounds on policy value using optimization over state-occupancy ratios and sensitivity model.
result Proves convergence to sharp bounds as more confounded data is collected.
reinforcement learningpolicy evaluationconfounding variablesinfinite horizonsensitivity model
2020-02-11abs ↗pdf ↗