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R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games

The dataset used in the paper is a synthetic game with two agents, where the payoff functions are sampled from a Gaussian process.

Data and Resources

Cite this as

Zhongxiang Dai, Yizhou Chen, Bryan Kian Hsiang Low, Patrick Jaillet, Teck-Hua Ho (2024). Dataset: R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games. https://doi.org/10.57702/4ud3ul0w

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2006.16679
Author Zhongxiang Dai
More Authors
Yizhou Chen
Bryan Kian Hsiang Low
Patrick Jaillet
Teck-Hua Ho