Research map / Learning theory and algorithms / Submodular and game algorithms
An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-player Games (AAAI 2021 · similarity 0.91)
- Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree Structure (AAAI 2017 · similarity 0.91)
- On the Approximation of Nash Equilibria in Sparse Win-Lose Games (AAAI 2018 · similarity 0.90)
- Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization (ICLR 2024 · similarity 0.88)
- The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games (NeurIPS 2025 · similarity 0.87)
- Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games (NeurIPS 2024 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
