Continuous-time Optimal Stopping through Deep Reinforcement Learning

By Cosmin Borsa, Mike Ludkovski

Published 2026-06-15

Everscope rating

1917.2

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

4 / 5

About this paper

Methodology: CARLOS (Continuous-time Adaptive Reinforcement Learning for Optimal Stopping). Problem types: Reinforcement Learning, Optimization, Regression, Classification.

arXiv:2606.17545 · Paper rankings

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