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Training a DQN with novelty search to solve OpenAI Bipedal Walker Hardcore

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NoveltyDQN

Training a DQN with novelty search to solve OpenAI Bipedal Walker Hardcore

Setting Up the Project

Download and install Anaconda on your machine

Create an Anaconda virtual environment and name it NoveltyDQN conda create --name NoveltyDQN python=3.5.6

# Activate the environment 
source activate NoveltyDQN**

# Install openai gym
pip install gym 
conda install pytorch torchvision -c pytorch

# Box2D requirement in order to run the environment
pip install box2d-py

At this point, your project should be able to run. To run the project, run the following command in the root directory of the project

python main.py

To run PyTorch DQN tutorial, install matplotlib with

pip install matplotlib

and run

python reinforcement_q_learning.py

Note that this project runs on python 3.5.6

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Training a DQN with novelty search to solve OpenAI Bipedal Walker Hardcore

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