profile photo
Seungeun (Ross) Rho

Hello! I’m a third-year Computer Science Ph.D. student at Georgia Tech, and I am fortunate to be advised by Dr. Sehoon Ha. I received my Master's and Bachelor's degrees in Computer Science from Seoul National University. I also closely work with Dr. Xue Bin Peng and Dr. Danfei Xu. I am interested in reinforcement learning and its applications to robotics.

 

 

 

PhD in Computer Science
2023 -

Robotics AI Institute, Research Intern
2025 Jan - May

 

 

Publications
Reference Grounded Skill Discovery

Seungeun Rho, Aaron Trinh, Danfei Xu, Sehoon Ha
International Conference on Learning Representations (ICLR) 2026

[Arxiv] [Project]

Flip Stunts on Bike-Like Robots using Iterative Motion Imitation

Jeonghwan Kim, Shamel Fahmi, Seungeun Rho, Sehoon Ha, Gabriel Nelson
International Conference on Robotics and Automation (ICRA) 2026

Work done during internship at the RAI Institute

Switch4EAI: Leveraging Console Game Platform for Benchmarking Robotic Athletics

Tianyu Li, Jeonghwan Kim, Wontaek Kim, Donghoon Baek, Seungeun Rho, Sehoon Ha
CoRL Open-Source Hardware Workshop 2025

[Arxiv] [Project]

Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion

Seungeun Rho*, Kartik Garg*, Morgan Byrd, Sehoon Ha
Conference on Robot Learning (CoRL) 2025

[Arxiv] [Project]

Language Guided Skill Discovery

Seungeun Rho, Laura Smith, Tianyu Li, Sergey Levine, Xue Bin Peng, Sehoon Ha
International Conference on Learning Representations (ICLR) 2025

[Arxiv] [Project]

Wing strain based flight control of flapping-wing drones through reinforcement learning

Taewi Kim*, Insic Hong*, Sunghoon Im*, Seungeun Rho*, [+19 more]
Nature Machine Intelligence 2024

[Paper]

Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation

Gunsoo Han, Daejin Jo, Daniel Wontae Nam, Eunseop Yoon, Taehwan Kwon, Seungeun Rho, Kyoung-Woon On, Chang D. Yoo, Sungwoong Kim
EMNLP Findings'23

[Paper]

LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward

Daejin Jo, Sungwoong Kim, Daniel Wontae Nam, Taehwan Kwon, Seungeun Rho, Jongmin Kim, Donghoon Lee
NeurIPS'22

[Arxiv] [pdf]

Creating Pro-Level AI for a Real-Time Fighting Game using Deep Reinforcement Learning

Inseok Oh*, Seungeun Rho*, Sangbin Moon, Seongho Son, Hyoil Lee, Jinyun Chung
AAAI 21' RL in Games Workshop
IEEE Transactions on Games'25 Outstanding Paper Award

[Arxiv]

* indicates equal contribution

 

 

Projects
[RL Competition] NeurIPS 22' IGLU Challenge - 1st place winner

2022

Our team, "happy_igpu," won both 1st place and the research prize.

[leaderboard]
[RL Competition] Google Research Football with Manchester City F.C. - Gold Medal

2021

As a team leader (of the team "liveinparis"), our agent, trained with fictitious self-play, ranked 6th out of 1,138 teams.

[leaderboard] [github] [approach]
MinimalRL - ★ +3.0K

2021

I implemented basic RL algorithms with minimal lines of codes including: PPO, SAC, ACER, A2C, A3C, DQN, DDPG, etc.

[github]
 

 


Scholarly Activities
  • ICRA 2026, TMLR 2026 - Reviewer
  • NeurIPS 2025, ICLR 2025 - Reviewer
  • NeurIPS 2024 - Reviewer
Teaching Experience
  • SPRING 2026, FALL 2025 - Reinforcement Learning Teaching Assistant (CS7642)
  • SPRING 2023 - Computer Animation Teaching Assistant (CS4496)