Hello! I am a PhD student at the University of Texas at Austin,
where I'm supervised by Prof. Amy Zhang in the
MIDI Lab.
Previous affiliation.
I collaborated with Prof. Ding Zhao in the
Safe AI Lab,
Carnegie Mellon University (CMU); with Prof. Minhae Kwon in the
BMIL; and Prof. Sangsoo Kim in the
Post-genome Informatics Lab at Soongsil University in Seoul, South Korea.
The research question I focus on is simple these days: Will reinforcement learning (RL) methods be applicable for practical deployment in realistic settings?
I’m interested in real-world challenges, e.g, partial observability, coordination with unseen partners, and human-robot collaboration.
Then, I aim to make an RL algorithm applicable in multi-agent, open-ended, and robotics settings via both self-play and data-driven techniques.
So, I work on multi-agent RL, representation learning, and offline-online RL.
My guiding ethos.
Speak truth, amid echoing scorn.
Embrace adventure, born of conviction.
Take responsibility, without retreat.
Method and Apparatus for Inferring Stochastic Driving Characteristic of a Vehicle
Dongsu Lee,
Minhae Kwon,
Apr 26, 2023. (Application no. US 18/139602), issued on December XX, 2025. (Patent no. US XX)
Apparatus and Method for Inferring Driving Characteristics of Vehicle
Dongsu Lee,
Minhae Kwon,
Oct 4, 2022. (Application no. US 17/959515), issued on Aug 19, 2025. (Patent no. US 12,391,261)
Method for Combating Stop-and-Go Wave Problem Using Deep Reinforcement Learning based Autonomous Vehicles, Recording medium and device for performing this the method