Search Results for author:
Found 2 papers, 1 papers with code
Non-zero-sum Game Control for Multi-vehicle Driving via Reinforcement Learning
In summary, we propose a non-zero-sum game framework for modeling multi-vehicle driving, provide an effective way to solve the Nash equilibrium driving strategy, and validate at non-signalized intersections.
Model-based Reinforcement Learning
reinforcement-learning
+1
Laziness, Barren Plateau, and Noise in Machine Learning
We discuss the difference between laziness and \emph{barren plateau} in quantum machine learning created by quantum physicists in \cite{mcclean2018barren} for the flatness of the loss function landscape during gradient descent.
