Jinyang Jiang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Likelihood Ratio

Top Venues

Publications

Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng
One Forward is Enough for Neural Network Training via Likelihood Ratio Method. ICLR (2024)
Jinyang Jiang, Xiaotian Liu, Tao Ren, Qinghao Wang, Yi Zheng, Yufu Du, Yijie Peng, Cheng Zhang
Deep Reinforcement Learning for Solving Management Problems: Towards A Large Management Mode. CoRR (2024)
Zeliang Zhang, Jinyang Jiang, Zhuo Liu, Susan Liang, Yijie Peng, Chenliang Xu
Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training. CoRR (2024)
Jinyang Jiang, Jiaqiao Hu, Yijie Peng
Quantile-Based Deep Reinforcement Learning using Two-Timescale Policy Gradient Algorithms. CoRR (2023)
Jinyang Jiang, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng
Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method. CoRR (2023)
Zeliang Zhang, Jinyang Jiang, Minjie Chen, Zhiyuan Wang, Yijie Peng, Zhaofei Yu
A Novel Noise Injection-based Training Scheme for Better Model Robustness. CoRR (2023)
Li Xiao, Zeliang Zhang, Jinyang Jiang, Yijie Peng
Noise Optimization in Artificial Neural Networks. CASE (2022)
Jinyang Jiang, Yijie Peng, Jiaqiao Hu
Quantile-Based Policy Optimization for Reinforcement Learning. WSC (2022)