This repository implements the classic and state-of-the-art deep reinforcement learning algorithms using pytorch. The goal of this repository is to provide an easy to read pytorch reinforcement learning implementation.

Currently this respository includes the agents:

• Deep Q-learning [1]
• Deep Deterministic Policy Gradient (DDPG) [2]

• Python 3.7
• gym >= 0.10
• pytorch >= 0.4

pip install -r requirements.txt 

In case failing with installation:

• Install gym environment

pip install gym 

• Install pytorch

please go to official webisite to install it: https://pytorch.org/

Recommend use Anaconda Virtual Environment to manage your packages

The result of the DQN for training the cart pole (CartPole-v0) is upleaded here

First clone the repository

git clone https://github.com/shayantaherian/Reinforcement-Learning.git

Then move to the directory

cd Deep Q-learning

To start training, run the following command

python main.py

The result of the DQN for training the pendulum (Pendulum-v0) is upleaded here

First clone the repository

git clone https://github.com/shayantaherian/Reinforcement-Learning.git

Then move to the directory

cd DDPG

To start training, run the following command

python main.py

To test the result for generalization purposes run

python Test_result.py

1. DeepQLearning
2. Deeplizard
3. Deep Deterministic Policy Gradients