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Conference Paper

Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning

MPS-Authors
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Nika,  Andi
Group A. Singla, Max Planck Institute for Software Systems, Max Planck Society;

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Singla,  Adish       
Group A. Singla, Max Planck Institute for Software Systems, Max Planck Society;

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Radanovic,  Goran
Group K. Gummadi, Max Planck Institute for Software Systems, Max Planck Society;

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nika23a.pdf
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Citation

Nika, A., Singla, A., & Radanovic, G. (2023). Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning. In F. Ruiz, J. Dy, & J.-W. van de Meent (Eds.), Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (pp. 335-358). PMRL.


Cite as: https://hdl.handle.net/21.11116/0000-000D-66DC-9
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