thu-ml/tianshou

Tianshou (天授) is a reinforcement learning (RL) library based on pure PyTorch and Gymnasium. Tianshou's main features at a glance are:

Unlike other reinforcement learning libraries, which may have complex codebases, unfriendly high-level APIs, or are not optimized for speed, Tianshou provides a high-performance, modularized framework and user-friendly interfaces for building deep reinforcement learning agents. One more aspect that sets Tianshou apart is its generality: it supports online and offline RL, multi-agent RL, and model-based algorithms.

Tianshou aims at enabling concise implementations, both for researchers and practitioners, without sacrificing flexibility.

In Chinese, Tianshou means divinely ordained, being derived to the gift of being born. Tianshou is a reinforcement learning platform, and the nature of RL is not learn from humans. So taking "Tianshou" means that there is no teacher to learn from, but rather to learn by oneself through constant interaction with the environment.

“天授”意指上天所授，引申为与生具有的天赋。天授是强化学习平台，而强化学习算法并不是向人类学习的，所以取“天授”意思是没有老师来教，而是自己通过跟环境不断交互来进行学习。

Tianshou is currently hosted on PyPI and conda-forge. It requires Python >= 3.11.

For installing the most recent version of Tianshou, the best way is clone the repository and install it with poetry (which you need to install on your system first)