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02/10/2023
Towards Minimax Optimality of Model-based Robust Reinforcement Learning
We study the sample complexity of obtaining an ϵ-optimal policy in Robus...
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06/14/2022
Robust Reinforcement Learning with Distributional Risk-averse formulation
Robust Reinforcement Learning tries to make predictions more robust to c...
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07/23/2020
Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement Learning
Patients with diabetes who are self-monitoring have to decide right befo...
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10/20/2019
Learning from both experts and data
In this work we study the problem of inferring a discrete probability di...
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11/25/2018