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07/03/2023
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
We investigate online classification with paid stochastic experts. Here,...
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02/22/2023
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
The classical algorithms used in tabular reinforcement learning (Value I...
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02/01/2023
Delayed Feedback in Kernel Bandits
Black box optimisation of an unknown function from expensive and noisy e...
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07/21/2022
Delayed Feedback in Generalised Linear Bandits Revisited
The stochastic generalised linear bandit is a well-understood model for ...
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11/25/2021
Bandit problems with fidelity rewards
The fidelity bandits problem is a variant of the K-armed bandit problem ...
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11/15/2021
Delayed Feedback in Episodic Reinforcement Learning
There are many provably efficient algorithms for episodic reinforcement ...
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10/15/2020
Local Differentially Private Regret Minimization in Reinforcement Learning
Reinforcement learning algorithms are widely used in domains where it is...
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07/03/2020
A Unifying View of Optimism in Episodic Reinforcement Learning
The principle of optimism in the face of uncertainty underpins many theo...
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10/31/2019
Recovering Bandits
We study the recovering bandits problem, a variant of the stochastic mul...
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09/20/2017