Shuai Han

According to our database, Shuai Han authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Explorer-Actor-Critic: Better actors for deep reinforcement learning.

Junwei Zhang, Shuai Han, Xi Xiong, Sheng Zhu, Shuai Lü

Inf. Sci., 2024

Mixed experience sampling for off-policy reinforcement learning.

Jiayu Yu, Jingyao Li, Shuai Lü, Shuai Han

Expert Syst. Appl., 2024

2023

Guided deterministic policy optimization with gradient-free policy parameters information.

Chun Shen, Sheng Zhu, Shuai Han, Xiaoyu Gong, Shuai Lü

Expert Syst. Appl., November, 2023

Entropy regularization methods for parameter space exploration.

Shuai Han, Wenbo Zhou, Shuai Lü, Sheng Zhu, Xiaoyu Gong

Inf. Sci., April, 2023

2022

Proximal policy optimization via enhanced exploration efficiency.

Junwei Zhang, Zhenghao Zhang, Shuai Han, Shuai Lü

Inf. Sci., 2022

Sampling diversity driven exploration with state difference guidance.

Jiayi Lu, Shuai Han, Shuai Lü, Meng Kang, Junwei Zhang

Expert Syst. Appl., 2022

NROWAN-DQN: A stable noisy network with noise reduction and online weight adjustment for exploration.

Shuai Han, Wenbo Zhou, Jiayi Lu, Jing Liu, Shuai Lü

Expert Syst. Appl., 2022

2021

Regularly updated deterministic policy gradient algorithm.

Shuai Han, Wenbo Zhou, Shuai Lü, Jiayu Yu

Knowl. Based Syst., 2021

Recruitment-imitation mechanism for evolutionary reinforcement learning.

Shuai Lü, Shuai Han, Wenbo Zhou, Junwei Zhang

Inf. Sci., 2021

2020

NROWAN-DQN: A Stable Noisy Network with Noise Reduction and Online Weight Adjustment for Exploration.

Shuai Han, Wenbo Zhou, Jing Liu, Shuai Lü

CoRR, 2020

Deep Recurrent Deterministic Policy Gradient for Physical Control.

Lei Zhang, Shuai Han, Zhiruo Zhang, Lefan Li, Shuai Lü

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020