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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.

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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

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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