Game Theory for Multi-Agent Systems Reading List

Curated by Mouhssine Rifaki | Stanford Electrical Engineering | Last updated April 2026

Game-theoretic foundations for understanding strategic interactions in multi-agent systems.

1. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
   Shoham and Leyton-Brown. Cambridge 2008.
2. The Complexity of Nash Equilibria
   Daskalakis. PhD Thesis, UC Berkeley 2008.
3. A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
   Lanctot et al.. NeurIPS 2017.
4. Re-evaluating Evaluation
   Balduzzi et al.. NeurIPS 2018.
5. Open-ended Learning in Symmetric Zero-Sum Games
   Balduzzi et al.. ICML 2019.
6. Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
   Heinrich and Silver. arXiv 2016.
7. Stackelberg Games for Adversarial Prediction Problems
   Bruckner and Scheffer. KDD 2011.
8. From Motor Control to Team Play in Simulated Humanoid Football
   Liu et al.. Science Robotics 2022.
9. Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
   Bakhtin et al.. Science 2022.
10. Learning in Mean Field Games: A Survey
    Laurière et al.. arXiv 2022.