Tianshou: a Highly Modularized Deep Reinforcement Learning Library
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- Tianshou: a Highly Modularized Deep Reinforcement Learning Library J. Weng, H. Chen, D. Yan, K. You, A. Duburcq, M. Zhang, Y. Su, H. Su, J. Zhu 2022 🛫 2023-02-28 reading citation Print:: ❌
Zotero Link:: arXiv.org Snapshot; Weng et al_2022_Tianshou.pdf Zotero Link:: NA PDF:: NA Files:: arXiv.org Snapshot; Weng et al_2022_Tianshou.pdf Reading Note:: J. Weng, H. Chen, D. Yan, K. You, A. Duburcq, M. Zhang, Y. Su, H. Su, J. Zhu (2022) Web Rip::
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In this paper, we present Tianshou, a highly modularized Python library for deep reinforcement learning (DRL) that uses PyTorch as its backend. Tianshou intends to be research-friendly by providing a flexible and reliable infrastructure of DRL algorithms. It supports online and offline training with more than 20 classic algorithms through a unified interface. To facilitate related research and prove Tianshou’s reliability, we have released Tianshou’s benchmark of MuJoCo environments, covering eight classic algorithms with state-of-the-art performance. We open-sourced Tianshou at https://github.com/thu-ml/tianshou/.
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