Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints

Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni, A. Marchesi, Nicola Gatti
2/14/2026

No confident code implementation found for this paper.

Semantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{stradi2026policy,
  title  = {Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints},
  author = {Francesco Emanuele Stradi and Anna Lunghi and Matteo Castiglioni and A. Marchesi and Nicola Gatti},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:3095e1da7e855cacb4fa2f27d4ba8fb77074fe49},
  journal = {ICML 2025 2025}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/3095e1da7e855cacb4fa2f27d4ba8fb77074fe49.svg)](https://codeofpaper.com/paper/3095e1da7e855cacb4fa2f27d4ba8fb77074fe49)

Discussion