Yaozhong Gan

According to our database, Yaozhong Gan authored at least 15 papers between 2019 and 2026.

Collaborative distances:

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

2026

ORAL: Adaptive Gap Increasing for Advantage Learning via Occam's Razor Principle.

Zhe Zhang, Yongle Zhou, Yuyang Long, Jia Zhang, Juanjuan Weng, Zhetao Li, Yaozhong Gan, Xiaoyang Tan

IEEE Trans. Neural Networks Learn. Syst., April, 2026

MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning.

Cuiling Wu, Yaozhong Gan, Junliang Xing, Ying Fu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Sanity Check for Multi-In-Domain Face Forgery Detection in the Real World.

Jikang Cheng, Renye Yan, Zhiyuan Yan, Yaozhong Gan, Xueyi Zhang, Zhongyuan Wang, Wei Peng, Ling Liang

CoRR, December, 2025

Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment.

Renye Yan, Jikang Cheng, Yaozhong Gan, Shikun Sun, You Wu, Yunfan Yang, Ling Liang, Jinlong Lin, Yeshuang Zhu, Jie Zhou, Jinchao Zhang, Junliang Xing, Yimao Cai, Ru Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

AdaMemento: Adaptive Memory-Assisted Policy Optimization for Reinforcement Learning.

Renye Yan, Yaozhong Gan, You Wu, Junliang Xing, Ling Liang, Yeshang Zhu, Yimao Cai

CoRR, 2024

The Exploration-Exploitation Dilemma Revisited: An Entropy Perspective.

Renye Yan, Yaozhong Gan, You Wu, Ling Liang, Junliang Xing, Yimao Cai, Ru Huang

CoRR, 2024

Transductive Off-policy Proximal Policy Optimization.

Yaozhong Gan, Renye Yan, Xiaoyang Tan, Zhe Wu, Junliang Xing

CoRR, 2024

Autoencoder Reconstruction Model for Long-Horizon Exploration.

Renye Yan, You Wu, Yaozhong Gan, Yunfan Yang, Zhaoke Yu, Zongxi Liu, Xin Zhang, Ling Liang, Yimao Cai

Proceedings of the International Joint Conference on Neural Networks, 2024

Reflective Policy Optimization.

Yaozhong Gan, Renye Yan, Zhe Wu, Junliang Xing

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PAE: Reinforcement Learning from External Knowledge for Efficient Exploration.

Zhe Wu, Haofei Lu, Junliang Xing, You Wu, Renye Yan, Yaozhong Gan, Yuanchun Shi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Alleviating the estimation bias of deep deterministic policy gradient via co-regularization.

Yao Li, Yuhui Wang, Yaozhong Gan, Xiaoyang Tan

Pattern Recognit., 2022

Robust Action Gap Increasing with Clipped Advantage Learning.

Zhe Zhang, Yaozhong Gan, Xiaoyang Tan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Smoothing Advantage Learning.

Yaozhong Gan, Zhe Zhang, Xiaoyang Tan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Stabilizing Q Learning Via Soft Mellowmax Operator.

Yaozhong Gan, Zhe Zhang, Xiaoyang Tan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Trust Region-Guided Proximal Policy Optimization.

Yuhui Wang, Hao He, Xiaoyang Tan, Yaozhong Gan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019