Research map / Learning theory and algorithms / Submodular and game algorithms
Learning Deviation Payoffs in Simulation-Based Games
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
- A Regression Approach for Modeling Games With Many Symmetric Players (AAAI 2018 · similarity 0.91)
- Structure Learning for Approximate Solution of Many-Player Games (AAAI 2020 · similarity 0.90)
- A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games (ICML 2025 · similarity 0.89)
- Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games (ICML 2025 · similarity 0.88)
- Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization (ICLR 2024 · similarity 0.88)
- The impact of uncertainty on regularized learning in games (ICML 2025 · similarity 0.88)
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.
