On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects

1 code implementation • 2 Jan 2023 • Sumana Basu, Marc-André Legault, Adriana Romero-Soriano, Doina Precup

Drug dosing is an important application of AI, which can be formulated as a Reinforcement Learning (RL) problem.

Reinforcement Learning (RL)

Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning

1 code implementation • 5 Oct 2022 • Flemming Kondrup, Thomas Jiralerspong, Elaine Lau, Nathan de Lara, Jacob Shkrob, My Duc Tran, Doina Precup, Sumana Basu

We design a clinically relevant intermediate reward that encourages continuous improvement of the patient vitals as well as addresses the challenge of sparse reward in RL.

Q-Learning reinforcement-learning +1

Active MR k-space Sampling with Reinforcement Learning

2 code implementations • 20 Jul 2020 • Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal

Deep learning approaches have recently shown great promise in accelerating magnetic resonance image (MRI) acquisition.

Image Reconstruction reinforcement-learning +1

Option-Critic in Cooperative Multi-agent Systems

1 code implementation • 28 Nov 2019 • Jhelum Chakravorty, Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup

In this paper, we investigate learning temporal abstractions in cooperative multi-agent systems, using the options framework (Sutton et al, 1999).