Miniproject | Learning to play Pong with Deep Reinforcement Learning
Pong is a game environment provided by OpenAI. The purpose of the project was to implement a model able to beat an artificial adversary at the game of Pong.
We did it by implementing the gradient-based RL algorithm commonly known as REINFORCE in a neural network. Refer to the notebook pong_rl.ipynb for more information and the code of our implementation.