Hugging Face shares CVaR‑PPO model

- Hugging Models published a CVaR‑PPO reinforcement‑learning model for portfolio optimization trained on 2025 market data to balance returns with tail risk. - The implementation uses Stable‑Baselines3 and embeds Conditional Value at Risk into Proximal Policy Optimization as a risk constraint. - PyQuant News also highlighted RiskFolio‑Lib as a practical Python library for PhD‑level ML portfolio work, giving you ready tools to reproduce experiments. (x.com 1) (x.com 2)