Guozheng Ma
Scholar

Guozheng Ma

Google Scholar ID: jDvVglUAAAAJ
Nanyang Technological University
Reinforcement LearningDeep Learning
Citations & Impact
All-time
Citations
228
 
H-index
7
 
i10-index
7
 
Publications
13
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - ICML 2025: 'Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning'
  • - ICLR 2024: 'Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages'
  • - NeurIPS 2023: 'Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning'
  • - IJCV 2025: 'A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning'
  • - 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
Research Experience
  • - PhD student at Nanyang Technological University, focusing on the practical deployment of Deep Reinforcement Learning
  • - Completed master's studies and began research journey at Tsinghua University
  • - Obtained bachelor's degree from Hunan University, spent four wonderful years at the foothills of Yuelu Mountain
Education
  • - PhD: Nanyang Technological University, Supervisor: Dacheng Tao, Time: 2024 to present
  • - Master's: Tsinghua University, Time: Not provided
  • - Bachelor's: Hunan University, Time: Not provided
Background
  • - Research Interests: Unlocking the true potential of Deep Reinforcement Learning, focusing on optimization pathologies, scalability limitations, and exploration inefficiencies.
  • - Professional Field: Deep Reinforcement Learning, Visual Reinforcement Learning, Data Augmentation, etc.
Miscellany
  • Personal Interests: Believes that greatness cannot be planned, enjoys joyful explorations.