Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games

Gabriele Farina, Chung-Wei Lee, Haipeng Luo, Christian Kroer

Bibtex entry

@inproceedings{Farina22:Kernelized, title={Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games}, author={Gabriele Farina and Chung-Wei Lee and Haipeng Luo and Christian Kroer}, booktitle={International Conference on Machine Learning}, year={2022} }

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Bibtex entry

@inproceedings{Farina22:Kernelized, title={Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games}, author={Gabriele Farina and Chung-Wei Lee and Haipeng Luo and Christian Kroer}, booktitle={International Conference on Machine Learning}, year={2022} }

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Metadata

Venue: International Conference on Machine Learning
Topic: No-Regret Learning Dynamics