RUG AI

Agenda:

17:30 Walk-in & Pizza

18:15 Welcome
GroningenML
RUG
AI Hub Noord

18:30 Presentation 1
Rafael Fernandes Cunha
Title: Reducing fuel consumption in platooning systems through reinforcement learning
Abstract: Adaptive Cruise Control (ACC) in platooning systems, vital for economic and environmental efficiency in transport, uses a key time gap parameter for vehicle spacing. To optimize fuel consumption, our study employs Reinforcement Learning, specifically the proximal policy optimization (PPO) algorithm, to dynamically adjust this time gap in response to traffic conditions. Simulations demonstrate PPO's superiority in enhancing fuel efficiency over static and threshold-based ACC controls.

19:15 Presentation 2
Prof. Matias Valdenegro
Title: Uncertainty in Machine Learning
Abstract: What if we train a model to classify dogs and cats, but it is later tested with an image of a human? Generally the model will output either dog or cat, and has no ability to signal that the image has no class that it can recognize.
This is because classical neural networks do not contain ways to estimate their own uncertainty (so called epistemic uncertainty), and this has practical consequences for the use of these models, like safety when cooperating with humans, autonomous systems like robots, and computer vision systems. A possible solution is the bayesian neural network.
In this talk I will cover the basic concepts of bayesian neural networks, and how they can help us to produce safer models, including explainable AI and computer vision.

20:00 Drinks

20:30 Closing