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Number of items: 3.
Proceedings paper
Kayal, Aya;
Vakili, Sattar;
Toni, Laura;
Bernacchia, Alberto;
(2025)
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning.
In: Li, Yingzhen and Mandt, Stephan and Agrawal, Shipra and Khan, Emtiyaz, (eds.)
Proceedings of the 28th International Conference on Artificial Intelligence and Statistics.
(pp. pp. 874-882).
PMLR (Proceedings of Machine Learning Research): Mai Khao, Thailand.
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Kayal, Aya;
Vakili, Sattar;
Toni, Laura;
Shiu, Da-shan;
Bernacchia, Alberto;
(2025)
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds.
In:
Proceedings of the 42nd International Conference on Machine Learning.
(pp. pp. 29449-29468).
PMLR (Proceedings of Machine Learning Research): Vancouver, Canada.
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Thesis
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Kayal, Aya;
(2025)
Towards Data-efficient AI:
Theoretical analysis and experimental validation of new
exploration algorithms for
Reinforcement Learning.
Doctoral thesis (Ph.D), UCL (University College London).
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