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 ?

Create new virtual environment

python3 -m venv ./ venv

Install all dependencies

pip3 install -r requirements.txt

Activate the newly created env

source venv/bin/activate

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

python3 demo.py

(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