[PYTORCH] DQN for Multiplayer Tetris

Introduction

Here is Python source code for a DQN implementation of multiagent Tetris.

Test trained model by running

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
LeakyReLU		LeakyReLU
LeakyReLU_2		LeakyReLU_2
LeakyReLU_50k_results		LeakyReLU_50k_results
__pycache__		__pycache__
demo		demo
double_trained		double_trained
double_trained_2		double_trained_2
double_trained_new		double_trained_new
double_trained_new_2		double_trained_new_2
src		src
tensorboard		tensorboard
tensorboard_2		tensorboard_2
trained_models		trained_models
trained_models_new		trained_models_new
LICENSE		LICENSE
README.md		README.md
env_test.py		env_test.py
multi-trained_vs_single-trained.py		multi-trained_vs_single-trained.py
output.mp4		output.mp4
single_agent_trained.py		single_agent_trained.py
smart_vs_untrained.py		smart_vs_untrained.py
train_one.py		train_one.py
train_two.py		train_two.py
trained_vs_trained.py		trained_vs_trained.py
two_random.py		two_random.py