Learning to Optimize Differentiable Games

Xuxi Chen, N. Vadori, Tianlong Chen, Zhangyang Wang
2/12/2026

No official code found. Best implementation: VITA-Group/L2PG (10 stars, last commit 2023-08-05).

Semantic Scholar

Code Implementations(1)

VITA-Group/L2PGCommunity59%

[ICML 2023] "Learning to Optimize Differentiable Games" by Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang

101PythonMay 22, 20233 years ago
differentiable-gameslearning-to-optimize

Similar Papers

Learning to Solve Differential Equation Constrained Optimization Problems

98% match2026

Toward Generalizing Visual Brain Decoding to Unseen Subjects

98% match1 repo292026

Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets

96% match2026

Rethinking Fast Adversarial Training: A Splitting Technique to Overcome Catastrophic Overfitting

95% match2026

A Privacy-Friendly Approach to Data Valuation

95% match2026

How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?

94% match2026

Cite this paper

@article{chen2026learning,
  title  = {Learning to Optimize Differentiable Games},
  author = {Xuxi Chen and N. Vadori and Tianlong Chen and Zhangyang Wang},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:43c00597f8d59659af97dc35b24a836e8bd9b82a},
  journal = {ICML 2023 2023}
}

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/43c00597f8d59659af97dc35b24a836e8bd9b82a.svg)](https://codeofpaper.com/paper/43c00597f8d59659af97dc35b24a836e8bd9b82a)

Discussion