Implementation of Deep Q-Learning and Double DQN algorithms in LunarLander-v2 environment.
License: GNU Affero General Public License v3.0
Implementation and performance evaluation of Deep Q-Learning and Double DQN algorithms in LunarLander-v2 environment.
In order to run the notebooks, you can use the latest official TF-Docker container, with both Tensorflow 2.4.1 and Jupyter Notebook.
Python packages:
gymgym-notebook-wrappermatplotlibnumpykerasBox2DPyVirtualDisplayUbuntu .deb package (for a Docker-based env. on Windows):
xvfb
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