Articles by:
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Apr 6th 2021
Research Post
On the Optimality of Batch Policy Optimization Algorithms
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Dec 6th 2020
Research Post
Model Selection in Contextual Stochastic Bandit Problems
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Nov 11th 2020
Research Post
Asymptotically Optimal Information-Directed Sampling
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Nov 8th 2020
Research Post
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
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Nov 8th 2020
Research Post
Online Sparse Reinforcement Learning
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Aug 6th 2020
Research Post
BubbleRank: Safe online learning to re-rank via implicit click feedback
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Jul 15th 2020
Research Post
Exploration by optimisation in partial monitoring
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Jun 30th 2020
Research Post
Bandit Algorithms
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Jun 3rd 2020
Research Post
Adaptive Exploration in Linear Contextual Bandit
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Feb 19th 2020
Research Post
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
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Jul 30th 2019
Research Post
Iterative Budgeted Exponential Search
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Dec 3rd 2018
Research Post
Single-Agent Policy Tree Search With Guarantees
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