Trying to implement some reinforcement learning algorithms with easy to read code, high speed and well performance.
The supported algorithms currently include:
- DQN (Deep Q-Networks)
Other features:
- Modularity and Readability: Implement agents, networks, replay buffers, etc as configurable modules and in a easy to read way
- Logging and Visualization: Easily logging training statistics and visualizing them using Tensorboard or
alkaid.utils.Ploter
git clone https://github.com/Renovamen/alkaid.git
cd alkaid
python setup.py install
or
pip install git+https://github.com/Renovamen/alkaid.git --upgrade
Alkaid is MIT licensed, see the LICENSE file for more details.