Deep Reinforcement Learning

Important info

• Dependencies are in requirements.txt
• Best performances (episodes recordings) are in episodes/
• Pretrained model weights are in pretrained_models/

How to use it ?

1. Create new virtual environment

python3 -m venv ./ venv

2. Install all dependencies

pip3 install -r requirements.txt

3. Activate the newly created env

source venv/bin/activate

4. Test demo (with saved pretrained model weights and does not trigger episode recordings)

python3 demo.py

5. (Extra) Choose which agent you want to test (Notice: these commands will trigger the recording of episodes and will save the newly trained model weights)

   1. Random Agent (episode recordings are in episodes/random_agent)

      python3 random_agent.py
      

   2. Deep Q-Network CartPole agent (episode recordings are in episodes/dqn_agent)

      python3 dqn_agent.py
      

   3. Deep Q-Convolutional Network CartPole agent (episode recordings are in episodes/conv_dqn_agent)

      python3 conv_dqn_agent.py
      

   4. Deep Q-Convolutional Network MineRL agent

      python3 minerl_agent.py
      

Finally, don't forget to deactivate the virtual environment after testing

deactivate

Developed by

• Khaled ABDRABO p1713323
• Jean BRIGNONE p1709655