Tri Wahyu Guntara

Applied Research Engineer (RL), KRAFTON

I build reinforcement learning agents at KRAFTON — for games (PUBG and PUBG: Blindspot) and for physical AI, where I work on RL and vision-language-action models. Before that I did my master's at KAIST, advised by Kee-Eung Kim. My research interests sit where RL meets the messiness of the real world: representation learning under distraction, off-policy evaluation, and multi-agent policy optimization.

wahyu.guntara@gmail.com

GitHub LinkedIn

Education

2021.09 - 2024.08

M.S. in Artificial Intelligence, Korea Advanced Institute of Science and Technology (KAIST) (Advisor: Kee-Eung Kim)

Thesis: Information-Theoretic Distraction-Free Representation Learning for Visual Offline RL

2016.09 - 2020.08

B.Eng. in Electrical Engineering, Universitas Indonesia

Experience

2026.07 - Present

Research Engineer, Ludo Robotics Seoul, South Korea

Concurrent position, dispatched from KRAFTON to Ludo Robotics, a robotics spin-off of the company
Vision-language-action (VLA) policies and systems integration for real-robot deployment of Ludi 0.1, an agentic system for socially intelligent robots

2024.11 - Present

Applied Research Engineer (RL), KRAFTON Inc. Seoul, South Korea

2025.12 - Present Physical AI Team

RL for sim2real and vision-language-action (VLA) models

2024.11 - 2025.11 Reinforcement Learning Team

RL agents for PUBG and PUBG: Blindspot

2023.01 - 2024.08

Graduate Student Research Assistant, Artificial Intelligence & Probabilistic Reasoning Lab, KAIST South Korea

Reinforcement learning and thesis project under the advisory of Prof. Kee-Eung Kim

2022.01 - 2022.12

Graduate Student Research Assistant, Autonomous Vehicles and Embedded Systems Lab, KAIST South Korea

Self-driving car and reinforcement learning under the advisory of Prof. Seung-Hyun Kong

2019.06 - 2019.12

Research Scientist Intern, Kata.ai Indonesia

Benchmarked models on Indonesian sequence labeling tasks (POS tagging, NER, SRL)
Collected scattered Indonesian-English data and benchmarked models on neural machine translation

Publications

2026

P2Ludi 0.1: An Agentic System for Socially Intelligent Robots

Wooseong Chung, William Cong, Jakub Dworakowski, Ethan Ewer, Tri Wahyu Guntara, Yeonwoo Jeong, Tianchong Jiang, Chaewon Kim, Hyunseo Kim, Jinwoo Kim, Jinyeon Kim, Yea-Seul Kim, Jack Kunde, Kangwook Lee, Sangheon Lee, Robert Nowak, Junha Roh

Ludo Robotics Technical Report

paper project page
C2ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning

Daiki E. Matsunaga, Junho Na, Tri Wahyu Guntara, Scott Sanner, Pascal Poupart, Jongmin Lee, Kee-Eung Kim

Reinforcement Learning Conference (RLC) 2026

paper

2025

P1CLEAR: An Information-Theoretic Framework for Distraction-Free Representation Learning in Visual Offline RL

Tri Wahyu Guntara, Daiki E. Matsunaga, HyeongJoo Hwang, Kee-Eung Kim

Preprint

paper code project page

2024

C1Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies

Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee, Yung-Kyun Noh, Kee-Eung Kim

ICLR 2024

paper code Spotlight

2020

W1Benchmarking Multidomain English-Indonesian Machine Translation

Tri Wahyu Guntara, Alham Fikri Aji, Radityo Eko Prasojo

LREC Workshop on Building and Using Comparable Corpora (BUCC) 2020

paper

Projects

Ludi 0.1: An Agentic System for Socially Intelligent Robots

Agentic Robotics System: a robot that holds a spoken conversation while it perceives, navigates, and manipulates, driven by a fine-tuned vision-language model that reasons over context and calls the navigation and manipulation policies as tools. Contributed the vision-language-action (VLA) policies and the systems integration behind deploying it on the real robot.

project page technical report
CLEAR: Controllable Latent State Extractor for Visual Offline RL

Master's thesis project on learning agent-centric latent representations that remain robust when the visual observation is full of distractions.

project page paper code
PALAPA-707: An Autonomous VTOL Drone for the Indonesia Flying Robot Contest 2018

Undergraduate team project at Universitas Indonesia: an autonomous drone for payload pick-up and delivery, built around a PID controller with vision-based target detection.

project page source code

Scholarships & Awards

2021.09 - 2023.08

Hyundai Motor Chung Mong-Koo Global Scholarship

Full scholarship for the duration of the 2-year master's study at KAIST

2018.11

Indonesia Flying Robot Contest 2018 — Honorable Mention

Vertical take-off and landing (VTOL) category