Rock_Pop

A Pytorch implementation of DDPG algorithm that trains an agent to play and master a custom environment that was developed using Pymunk 2D physics engine and Pygame.

Cloning

$ git clone https://github.com/7enTropy7/Rock_Pop.git

Dependencies

$ pip3 install -r requirements.txt

Demonstration

For AI:

$ python3 Pytorch_DDPG/testing.py

For Single Player:

$ python3 main.py

AI Playing

Authors

• Anirudh Rajiv Menon
• Unnikrishnan Menon

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details