Project for INF8225 TP4
DDPG implementation with pytorch
Paper: https://arxiv.org/abs/1509.02971
Clone repository and create venv with:
python3.7 -m virtualenv <env_name>
source <env_name>/bin/activate
(<env_name>)$ pip install -r path/to/requirements.txt
Run pre-trained models with:
python run_trained.py <env>
using "p","mc" or "ll" for the different environments Pendulum Swing up, Mountain Car and Lunar Lander.
New models can be trained running
python sandbox.py
Rendering can be enabled/disabled by pressing "Enter" in the console.
