MIT 6.S094: Deep Reinforcement Learning for Motion Planning

This is lecture 2 of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017. This lecture introduces types of machine learning, the neuron as a computational building block for neural nets, q-learning, deep reinforcement learning, and the DeepTraffic simulation that utilizes deep reinforcement learning for the motion planning task.

This post was created with our nice and easy submission form. Create your post!


What do you think?

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

GIPHY App Key not set. Please check settings

LEGO Mindstorms EV3 autonomous Car (self-driving)

How to Make a Path Planning Algorithm Easily (LIVE)