An Autonomous Remote Control Vehicle With Reinforcement Learning
Oct 2020
Reinforcement learning is designed to solve tasks which require complex sequential decision making. Learning to control and drive an autonomous vehicle is one such complex problem. In this workshop I present a somewhat simplified version of the problem with a simulation of a vehicle. You can use this simulation to train an agent to drive a car. The coolest part of this experiment is the use of a variational auto-encoder to build a model of the world from experimental data.