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02/24/2023
Provably Efficient Neural Offline Reinforcement Learning via Perturbed Rewards
We propose a novel offline reinforcement learning (RL) algorithm, namely...
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11/23/2022
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation
Sample-efficient offline reinforcement learning (RL) with linear functio...
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06/26/2022
Two-Stage Neural Contextual Bandits for Personalised News Recommendation
We consider the problem of personalised news recommendation where each u...
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03/03/2022
On Practical Reinforcement Learning: Provable Robustness, Scalability, and Statistical Efficiency
This thesis rigorously studies fundamental reinforcement learning (RL) m...
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11/27/2021
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
Offline policy learning (OPL) leverages existing data collected a priori...
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07/24/2021
Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support
We address policy learning with logged data in contextual bandits. Curre...
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03/11/2021
