projects by Hans Gunnoo
Deep Reinforcement Learning for Self-Driving Robots
In this liveProject, you’ll investigate reinforcement learning approaches that will allow autonomous robotic carts to navigate a warehouse floor without any bumps and crashes. Your challenges will include teaching warehouse navigation with tabular Q-learning, leveraging neural networks and Deep Q-Network models to avoid collisions, and putting together a simulation environment to handle custom reinforcement learning problems.
Please note: This project recommends using Colab Pro, which is an additional cost outside this project.
