Jiayi Weng

According to our database, Jiayi Weng authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A New Evaluation Model for Traumatic Severe Pneumothorax Based on Interpretable Machine Learning.

Yinzhen Lv, Jiayi Weng, Jing Li, Wei Chen, He Huang, Yuzhuo Zhao

Int. J. Comput. Commun. Control, 2025

2024

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning.

Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi

CoRR, 2024

Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform.

Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontañón

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Evaluation of Technical Support in Software Promotion Effectiveness Based on Causal Machine Learning.

Jiayi Weng, Zihang He, Siqi Liu, Lei Zhang

Proceedings of the Fuzzy Systems and Data Mining X, 2024

2022

Deep reinforcement learning with credit assignment for combinatorial optimization.

Dong Yan, Jiayi Weng, Shiyu Huang, Chongxuan Li, Yichi Zhou, Hang Su, Jun Zhu

Pattern Recognit., 2022

Tianshou: A Highly Modularized Deep Reinforcement Learning Library.

Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Yi Su, Hang Su, Jun Zhu

J. Mach. Learn. Res., 2022

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine.

Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Tianshou: a Highly Modularized Deep Reinforcement Learning Library.

Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Hang Su, Jun Zhu

CoRR, 2021

2020

URBER: Ultrafast Rule-Based Escape Routing Method for Large-Scale Sample Delivery Biochips.

Jiayi Weng, Tsung-Yi Ho, Weiqing Ji, Peng Liu, Mengdi Bao, Hailong Yao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

2019

Playing FPS Games With Environment-Aware Hierarchical Reinforcement Learning.

Shihong Song, Jiayi Weng, Hang Su, Dong Yan, Haosheng Zou, Jun Zhu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019