Student Works

Since the launch of the Deep Reinforcement Learning Course, many students have created amazing projects that you should check out and consider participating in.

If you’ve created an interesting project, don’t hesitate to add it to this list by opening a pull request on the GitHub repository.

The projects are arranged based on the date of publication in this page.

Space Scavanger AI

This project is a space game environment with trained neural network for AI.

AI is trained by Reinforcement learning algorithm based on UnityMLAgents and RLlib frameworks.

Space Scavanger AI

Play the Game here πŸ‘‰ https://swingshuffle.itch.io/spacescalvagerai

Check the Unity project here πŸ‘‰ https://github.com/HighExecutor/SpaceScalvagerAI

Neural Nitro 🏎️

Neural Nitro

In this project, Sookeyy created a low poly racing game and trained a car to drive.

Check out the demo here πŸ‘‰ https://sookeyy.itch.io/neuralnitro

Space War πŸš€

SpaceWar

In this project, Eric Dong recreates Bill Seiler’s 1985 version of Space War in Pygame and uses reinforcement learning (RL) to train AI agents.

Check out the project here πŸ‘‰ https://github.com/e-dong/space-war-rl
Check out his blog here πŸ‘‰ https://dev.to/edong/space-war-rl-0-series-introduction-25dh