Deep Traffic
A competition and methodology focused on applying deep reinforcement learning to simulate and optimize driving behavior.
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Videos Mentioning Deep Traffic
MIT 6.S094: Deep Reinforcement Learning
Lex Fridman
A competition and methodology focused on applying deep reinforcement learning to simulate and optimize driving behavior.
MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task
Lex Fridman
A game/simulation mentioned as an example of a neural network that learns to steer a vehicle. It's contrasted with real-world driving simulations later in the lecture.
MIT 6.S094: Deep Reinforcement Learning for Motion Planning
Lex Fridman
A deep reinforcement learning project/codebase for solving traffic problems, used in the context of a competition and tutorial.
MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
Lex Fridman
A simulation game used as one of the course projects, where a neural network controls a car in a multi-lane, top-view environment.