Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium

Runyu Lu, Yuanheng Zhu, Dongbin Zhao
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{lu2026constrained,
  title  = {Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium},
  author = {Runyu Lu and Yuanheng Zhu and Dongbin Zhao},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:664cfaa0770e92c864d1e17ad51bf70f38c1ac94},
  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/664cfaa0770e92c864d1e17ad51bf70f38c1ac94.svg)](https://codeofpaper.com/paper/664cfaa0770e92c864d1e17ad51bf70f38c1ac94)

Discussion