Short Bio
Currently, I am a first-year PhD student at
Nanyang Technological University, working under the supervision of Dacheng Tao.
Previously, I embarked on my research path as a master student at
Tsinghua University, studying 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 potential of RL, determining whether DEEP RL agents can tackle complex real-world scenarios, handle multiple tasks, and never stop learning in open-ended environments.
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
- Excellent Graduates, Beijing, 2024.
- 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
Workshop PCs