Dongsu Lee
Scholar

Dongsu Lee

Google Scholar ID: v0hNlSUAAAAJ
University of Texas at Austin
Reinforcement Learning
Citations & Impact
All-time
Citations
82
 
H-index
5
 
i10-index
3
 
Publications
19
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Publications: Multi-agent Coordination via Flow Matching, etc.; Patents: Method and Apparatus for Inferring Stochastic Driving Characteristic of a Vehicle, etc.; Awards: UT Austin Engineering Fellowship, AI Intensive Program at Carnegie Mellon University Scholarship, Future Industrial Talent Scholarship, etc.
Research Experience
  • Collaborated with Prof. Ding Zhao in the Safe AI Lab at CMU, with Prof. Minhae Kwon in BMIL, and with Prof. Sangsoo Kim in the Post-genome Informatics Lab at Soongsil University.
Education
  • PhD student at the University of Texas at Austin, supervised by Prof. Amy Zhang; previously collaborated with Prof. Ding Zhao at CMU, Prof. Minhae Kwon, and Prof. Sangsoo Kim at Soongsil University, South Korea.
Background
  • Research interests: applicability of reinforcement learning (RL) methods in practical and realistic settings, particularly in multi-agent, open-ended, and robotics settings. Specializes in multi-agent RL, representation learning, and offline-online RL.
Miscellany
  • Personal ethos: Speak truth, amid echoing scorn. Embrace adventure, born of conviction. Take responsibility, without retreat.