most citedAutotuning PID control using Actor-Critic Deep Reinforcement Learning

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2025

TAP-CT: 3D Task-Agnostic Pretraining of Computed Tomography Foundation Models

Tim Veenboer, George Yiasemis, Eric Marcus +4

Existing foundation models (FMs) in the medical domain often require extensive fine-tuning or rely on training resource-intensive decoders, while many existing encoders are pretrai…

eess.IV2025

Foundation Models in Medical Imaging: A Review and Outlook

Vivien van Veldhuizen, Vanessa Botha, Chunyao Lu +10

Foundation models (FMs) are changing the way medical images are analyzed by learning from large collections of unlabeled data. Instead of relying on manually annotated examples, FM…

cs.LG2022★ 2 cited

Autotuning PID control using Actor-Critic Deep Reinforcement Learning

Vivien van Veldhuizen

This work is an exploratory research concerned with determining in what way reinforcement learning can be used to predict optimal PID parameters for a robot designed for apple harv…