Hyeonchang Jeon

I'm a Ph.D student from GIST AI, advised by Kyung-Joong Kim

My research goal is to understand how decision-making models interpret and use information about other agents across diverse multi-agent domains. I study how an agent can reason about others' behavior and incorporate that understanding into its own decisions.

Recently, I have been focusing on this problem in the autonomous driving domain. Previously, I worked on multi-agent reinforcement learning in games.

Beyond multi-agent decision-making for autonomous driving, I'm also interested in trajectory generation and open-endedness for autonomous driving. If you'd like to discuss or collaborate on any of these topics, feel free to reach out!

Email / CV / Google Scholar / LinkedIn / X / Github

News

2024.08–2024.10

I visited New York University as a Visiting Researcher, mentored by Prof. Eugene Vinitsky, and worked on interpreting decision-making for autonomous driving.

Publications

Published Preprint Workshop All

All Autonomous Driving Multi-Agent Game AI Theory of Mind Interpretability Zero-shot VR

Game AI Multi-Agent
RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games
Hyeonchang Jeon*, In-Chang Baek*, Cheong-mok Bae, Taehwa Park, Wonsang You, Taegwan Ha, Hoyun Jung, Jinha Noh, Seungwon Oh, Kyung-Joong Kim
IEEE Transactions on Games (2023)
paper / code / news

VR
Seamless-walk: natural and comfortable virtual reality locomotion method with a high-resolution tactile sensor
Yunho Choi, Dong-Hyeok Park, Sungha Lee, Isaac Han, Ecehan Akan, Hyeonchang Jeon, Yiyue Luo, SeungJun Kim, Wojciech Matusik, Daniela Rus, Kyung-Joong Kim
Virtual Reality (2023)
paper / news

Autonomous Driving Interpretability
What Probing Reveals about Autonomous Driving: Linking Internal Prediction Errors to Ego Planning
Hyeonchang Jeon*, Kyung-Beom Kim, Eugene Vinitsky, Kyung-Joong Kim
In submission (2026)
paper / code

Multi-Agent Game AI
Tail Catching: An Environment for Active Role Inference via Information-Seeking Actions
Hyeonchang Jeon*, Kyung-Joong Kim
In submission (2026)

Theory of Mind Multi-Agent Game AI
Understanding Unreliability Using Theory of Mind in Press Diplomacy
Hyeonchang Jeon*, Songmi Oh*, Wonsang You*, Hoyoun Jung, Kyung-Joong Kim
In submission (2024)

Multi-Agent Zero-shot Coordination
Behavioral Differences is the Key of Ad-hoc Team Cooperation in Multiplayer Games Hanabi
Hyeonchang Jeon, Kyung-Joong Kim
arXiv preprint (2023)
paper

Autonomous Driving Multi-Agent Zero-shot Coordination
ReCord: Replay Coordination for Safe and Robust Population-Based Training in Autonomous Driving
Hyeonchang Jeon*, Kyung-Joong Kim
Trustworthy AI for Good (AI4GOOD) Workshop @ ICML 2026
paper

Autonomous Driving Interpretability
Interpreting the Planning and Reasoning Ability of Imitation Learning in Autonomous Driving
Hyeonchang Jeon*, Kyung-Beom Kim, Eugene Vinitsky, Kyung-Joong Kim
7th Workshop on Long-Term Human Motion Prediction @ ICRA 2025
paper / code

Theory of Mind Multi-Agent Game AI
Inferring Relationship using Theory of Mind in Press Diplomacy
Hyeonchang Jeon*, Songmi Oh*, Wonsang You*, Hoyoun Jung, Kyung-Joong Kim
AI for Agent-Based Modelling Workshop @ ICML 2022
paper

VR
Seamless-walk: Novel natural virtual reality locomotion method with a high-resolution tactile sensor
Yunho Choi, Hyeonchang Jeon, Sungha Lee, Isaac Han, Yiyue Luo, SeungJun Kim, Wojciech Matusik, Kyung-Joong Kim
IEEE VR Abstracts and Workshops (VRW) 2022
paper

Academic Services

IEEE CoG Reviewer (2025)

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