Action-Space Entropy Regularization in Bayesian Markowitz

By Andy Au

Published 2026-06-29

Everscope rating

1904.9

Relevance to quantitative trading

8 / 10

Implementation complexity

6 / 10

Reproducibility

4 / 5

About this paper

Methodology: Continuous-time Bayesian filtering combined with entropy-regularized stochastic policy optimization. Problem types: Portfolio Optimization, Optimization, Reinforcement Learning.

arXiv:2602.16862 · Paper rankings

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