Jiawei Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jiawei Wang has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Changyin Sun
Southeast University, Nanjing, China
1 shared publication - Chaoxu Mu
Tianjin University
1 shared publication - Guangran Cheng
School of Automation, Southeast University, Nanjing, China
1 shared publication - Jingyu Cao
School of Automation, Southeast University, Nanjing, China
1 shared publication - Kun Jiang
School of Automation, Southeast University, Nanjing, China
1 shared publication - Lele Xu
School of Automation, Southeast University, Nanjing, China
1 shared publication
Latest Publications
- Open Access
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
In this paper, we present XuanCe, a comprehensive and unified deep reinforcement learning (DRL) library designed to be compatible with PyTorch, TensorFlow, and MindSpore. XuanCe offers a wide range of functionalities, including over 40 classical DRL and multi-agent DRL algorithms, with the flexibility to easily incorporate new algorithms and environments. It is a versatile DRL library that supports CPU, GPU, and Ascend, and can be executed on various operating systems such as Ubuntu, Windows, MacOS, and EulerOS. Extensive benchmarks conducted on popular environments including MuJoCo, Atari, and StarCraftII multi-agent challenge demonstrate the library's impressive performance. XuanCe is open-source and can be accessed at https://github.com/agi-brain/xuance.git.
Open AccessXuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
In this paper, we present XuanCe, a comprehensive and unified deep reinforcement learning (DRL) library designed to be compatible with PyTorch, TensorFlow, and MindSpore. XuanCe offers a wide range of functionalities, including over 40 classical DRL and multi-agent DRL algorithms, with the flexibility to easily incorporate new algorithms and environments. It is a versatile DRL library that supports CPU, GPU, and Ascend, and can be executed on various operating systems such as Ubuntu, Windows, MacOS, and EulerOS. Extensive benchmarks conducted on popular environments including MuJoCo, Atari, and StarCraftII multi-agent challenge demonstrate the library's impressive performance. XuanCe is open-source and can be accessed at https://github.com/agi-brain/xuance.git.