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07/13/2023
Leveraging Factored Action Spaces for Off-Policy Evaluation
Off-policy evaluation (OPE) aims to estimate the benefit of following a ...
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05/02/2023
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
Many reinforcement learning (RL) applications have combinatorial action ...
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11/28/2022
Machine Learning for Health symposium 2022 – Extended Abstract track
A collection of the extended abstracts that were presented at the 2nd Ma...
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11/14/2022
Towards Data-Driven Offline Simulations for Online Reinforcement Learning
Modern decision-making systems, from robots to web recommendation engine...
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07/23/2021
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings
Reinforcement learning (RL) can be used to learn treatment policies and ...
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07/24/2020
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
Standard reinforcement learning (RL) aims to find an optimal policy that...
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06/07/2019