Deep Traffic

Software / App

A competition and methodology focused on applying deep reinforcement learning to simulate and optimize driving behavior.

Mentioned in 4 videos

Videos Mentioning Deep Traffic

MIT 6.S094: Deep Reinforcement Learning

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

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

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

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.