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12
QuACK: A Multipurpose Queuing Algorithm for Cooperative
k
-Armed Bandits
31 October 2024 by
Benjamin Howson
and
others
Machine Learning
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
28 May 2024 by
Emmeran Johnson
and
others
Machine Learning
,
Artificial Intelligence
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
21 November 2023 by
Emmeran Johnson
and
others
Optimization and Control
,
Machine Learning
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
3 July 2023 by
Dirk Van Der Hoeven
and
others
at
Imperial College London
Machine Learning
Optimism and Delays in Episodic Reinforcement Learning
6 April 2023 by
Benjamin Howson
and
others
Machine Learning
Delayed Feedback in Kernel Bandits
1 February 2023 by
Sattar Vakili
and
others
Machine Learning
,
Artificial Intelligence
Active Learning for Quantum Mechanical Measurements
14 December 2022 by
Ruidi Zhu
and
others
Quantum Physics
Delayed Feedback in Generalised Linear Bandits Revisited
25 July 2022 by
Benjamin Howson
and
others
Machine Learning
Bandit problems with fidelity rewards
25 November 2021 by
Gábor Lugosi
and
others
Machine Learning
Local Differentially Private Regret Minimization in Reinforcement Learning
16 March 2021 by
Evrard Garcelon
and
others
Machine Learning
A Unifying View of Optimism in Episodic Reinforcement Learning
3 July 2020 by
Gergely Neu
and
Ciara Pike-Burke
Machine Learning
Recovering Bandits
31 October 2019 by
Ciara Pike-Burke
and
Steffen Grünewälder
Machine Learning
Bandits with Delayed, Aggregated Anonymous Feedback
15 February 2018 by
Ciara Pike-Burke
and
others
Machine Learning
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Machine Learning
Artificial Intelligence
Statistics Theory
Optimization and Control
Quantum Physics
