76 citations · 257 across the 23 of their papers we have counts for
4 papers · 1 filter
Learning Time Delay Systems with Neural Ordinary Differential Equations
Xunbi A. Ji, Gabor Orosz
A novel way of using neural networks to learn the dynamics of time delay systems from sequential data is proposed. A neural network with trainable delays is used to approximate the…
Traffic Forecasting using Vehicle-to-Vehicle Communication
Steven Wong, Lejun Jiang, Robin Walters +3
We take the first step in using vehicle-to-vehicle (V2V) communication to provide real-time on-board traffic predictions. In order to best utilize real-world V2V communication data…
Control Regularization for Reduced Variance Reinforcement Learning
Richard Cheng, Abhinav Verma, Gabor Orosz +3
Dealing with high variance is a significant challenge in model-free reinforcement learning (RL). Existing methods are unreliable, exhibiting high variance in performance from run t…
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
Richard Cheng, Gabor Orosz, Richard M. Murray +1
Reinforcement Learning (RL) algorithms have found limited success beyond simulated applications, and one main reason is the absence of safety guarantees during the learning process…