Short Bio
I am a final-year master student at Tsinghua University, with my research focused on Visual Reinforcement Learning and Data Augmentation. Prior to that, I completed my bachelor's degree at Hunan University, where I cherished four wonderful years at the foothills of Yuelu Mountain.
My research interests broadly pertain to the distinctive challenges in DEEP Reinforcement Learning. Mitigating the constraints that arise when integrating deep neural networks with RL paradigms is crucial for unlocking the scaling law of RL, determining whether the real DEEP RL agents can continuously learn from new experiences, and adapt in dynamic tasks and environments.
In this era marked by the advent of AGI, I am also deeply concerned about the value alignment of AI agents, both from a technical perspective and a social science viewpoint.
Greatness cannot be planned, so I play with joyful explorations!
News
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ICLR 2024
Guozheng Ma*, Lu Li*, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao
International Conference on Learning Representations (ICLR), 2024.
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NeurIPS 2023
Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao
Neural Information Processing Systems (NeurIPS), 2023.
Invited Talks
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages.
Honors and Awards
- ICLR Financial Assistance Award, 2024.
- ORDOS Scholarship, Tsinghua University, 2023.
- AI Safety and Alignment Fellowship, Concordia AI, 2023.
- Provincial Excellent Graduates, Hunan Province, 2021.
- First Prize of Outstanding Undergraduate Thesis, Hunan University, 2021.
- Weisheng Scholarship, Hunan University, 2020.
- XiongXiaoge Scholarship, Hunan University, 2019
- National Scholarship, Ministry of Education of China, 2019
Academic Services
Conference Reviewers
Journal Reviewers