[ PAPER ] · 2021 · Journal of machine learning research
Stable-Baselines3: Reliable Reinforcement Learning Implementations
A. Raffin, Ashley Hill, A. Gleave, A. Kanervisto, M. Ernestus, Noah Dormann
2,957 citationsno open PDF · spoken briefing available
No open-access PDF, so we'll narrate a briefing from the abstract instead.
[ TLDR ]
Stable-Baselines3 provides open-source implementations of deep reinforcement learning (RL) algorithms in Python that follow a consistent interface and are accompanied by extensive documentation, making it simple to train and compare RL algorithms.