Research map / Learning theory and algorithms / Submodular and game algorithms
Computational Results for Extensive-Form Adversarial Team 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.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use a communication device rather than a correlation device | Extensive-form adversarial team games · Random STSA-EF-TGs, 3 players | PoU Com/Cor: worst-case value ... >45; average empiric value is <2 | Mixed |
| Increase ν, the probability of assigning a decision node to an existing information set | Random extensive-form team games · Random STSA-EF-TGs | empirical inefficiency indices | Hurt |
| Use TMECom with a communication device | TMECom algorithm · Random STSA-EF-TGs, 3 players, ν=0.5 | terminal nodes solved within the time limit: more than 16,000 | Helped |
| Use hybrid column generation with the exact best-response oracle | TMECor algorithm · Random STSA-EF-TGs, 3 players, ν=0.5 | terminal nodes solved within the time limit: more than 2,000 | Helped |
| Use hybrid column generation instead of reduced-normal-form enumeration | TMECor algorithm · Random STSA-EF-TGs, 3 players, ν=0.5 | termination within the deadline: does not reach termination | Helped |
| Compute TME rather than TMECom or TMECor | Equilibrium-finding algorithms · Random STSA-EF-TGs, 3 players, ν=0.5 | compute time scalability | Hurt |
Closest papers by meaning
- Subgame Solving in Adversarial Team Games (NeurIPS 2022 · similarity 0.92)
- Efficiently Computing Nash Equilibria in Adversarial Team Markov Games (ICLR 2023 · similarity 0.90)
- The Complexity of Two-Team Polymatrix Games with Independent Adversaries (ICLR 2025 · similarity 0.87)
- Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem (NeurIPS 2024 · similarity 0.86)
- DAG-Based Column Generation for Adversarial Team Games (ICML 2024 · similarity 0.86)
- The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games (NeurIPS 2025 · similarity 0.86)
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.