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Julia Olkhovskaya
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7
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
30 October 2024 by
Sattar Vakili
and
Julia Olkhovskaya
Machine Learning
,
Artificial Intelligence
Improved Regret Bounds for Bandits with Expert Advice
24 June 2024 by
Nicolò Cesa-Bianchi
and
others
Machine Learning
Kernelized Reinforcement Learning with Order Optimal Regret Bounds
14 March 2024 by
Sattar Vakili
and
Julia Olkhovskaya
Machine Learning
,
Artificial Intelligence
Adversarial Contextual Bandits Go Kernelized
2 October 2023 by
Gergely Neu
and
others
Machine Learning
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits
22 May 2023 by
Julia Olkhovskaya
and
others
Machine Learning
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits
6 March 2023 by
Gergely Neu
and
others
Machine Learning
Online learning in MDPs with linear function approximation and bandit feedback
12 June 2021 by
Gergely Neu
and
Julia Olkhovskaya
Machine Learning
Efficient and Robust Algorithms for Adversarial Linear Contextual Bandits
2 July 2020 by
Gergely Neu
and
Julia Olkhovskaya
Machine Learning
Online Influence Maximization with Local Observations
28 May 2018 by
Julia Olkhovskaya
and
others
Machine Learning
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Machine Learning
Artificial Intelligence
