Adapting Video Game AI Agents for Real-World Challenges Alex Wunderli, Chris Joo, Lydia Park, Will Curtiss
The grand challenge of this project is to use video games and virtual environments to train agents for real-world robotics use. This project is important because it aims to improve the ability and efficiency of training robots. Using virtual environments allows for fast and cheap training and testing. We used a deep reinforcement learning algorithm