MIT 6.S094: Deep Reinforcement Learning for Motion Planning
Lex Fridman
The lecture introduces Deep Traffic, a project within MIT 6.S094 designed to solve traffic problems using deep reinforcement learning (RL). The session begins by distinguishing between supervised learning, which relies on labeled ground truth data and is often described as memorization, and unsuperv …