Adaptive Finite-Budget Training for CVaR Risk-Aware Q-Learning

By Yifan Wu, Junjie Lei, Wenjie Huang

Published 2026-08-05

Everscope rating

1437.2

Relevance to quantitative trading

8 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: Adaptive Finite-Budget Training Controller for CVaR RaQL. Problem types: Reinforcement Learning, Risk Management, Portfolio Optimization, Algorithmic Execution, Optimization.

arXiv:2608.04305 · Paper rankings

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