wahyu [dot] guntara [at] gmail [dot] com
I am a recent graduate (Spring 2024) of the research-based master's program at The Kim Jaechul Graduate School of AI, KAIST. I was very fortunate to be advised by Prof. Kee-Eung Kim. I am looking for an opportunity to build something exciting!
Education
[ 2021.09 - 2024.08 ] Korea Advanced Institute of Science and Technology
Master of Science, Graduate School of AI (GPA 3.78/4.3)
Thesis
Information-Theoretic Distraction-Free Representation Learning for Visual Offline RL
Key Courses
(Robotics) The Principles and Applications of the Kalman Filer, Intelligent Robot Design Lab, (AI) Deep Learning, Deep Reinforcement Learning, Bayesian Machine Learning, Advanced Topics in Deep Reinforcement Learning
[ 2016.09 - 2020.08 ] Universitas Indonesia
Bachelor of Engineering, Electrical Engineering (GPA 3.86/4.0)
Experience
[ 2023.01 - 2024.08 ] AIPR Lab (KAIST Graduate School of AI), South Korea
Graduate Student Research Assistant
Reinforcement learning and thesis project under the advisory of Prof. Kee-Eung Kim
[ 2022.01 - 2022.12 ] AVE Lab (KAIST School of Mobility), South Korea
Graduate Student Research Assistant
Self-driving car and reinforcement learning under the advisory of Prof. Seung-Hyun Kong
[ 2019.06 - 2019.12] Kata.ai, Indonesia
Research Scientist Intern
Benchmark different models on Indonesian sequence labeling tasks (e.g. POS Tagging, NER, SRL)
Collect scattered Indonesian-English data and benchmark different models on NMT
[ 2019.01 - 2019.12 ] Control Lab (Universitas Indonesia EE Dept.), Indonesia
Laboratory Teaching Assistant
Prepare and teach laboratory modules for Control Engineering course
[ 2018.07 - 2018.08 ] Nodeflux.io, Indonesia
Software Engineering Summer Internship
Benchmark different message brokers
Setup internal monitoring tools using ELK stack
Publication
Information-Theoretic Distraction-Free Representation Learning for Visual Offline RL
[Code] [Project Page]
Tri Wahyu Guntara and Co-authors
Under Review for NeurIPS 2024
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
[Paper] [Code]
Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee, Yung-Kyun Noh, Kee-Eung Kim
ICLR 2024 (Spotlight)
Benchmarking Multidomain English-Indonesian Machine Translation
[Paper]
Tri Wahyu Guntara, Alham Fikri Aji, Radityo Eko Prasojo
LREC Workshop on Building and Using Comparable Corpora 2020
Projects
Information-Theoretic Distraction-Free Representation Learning for Visual Offline RL
[Project Page]
PALAPA-707: Universitas Indonesia Team on Indonesia Flying Robot Contest 2018 (VTOL Category)
[Project Page]
Scholarship and Award
Hyundai Motor Chung Mong-Koo Global Scholarship
Full scholarship for the duration of 2 years master study at KAIST (2021.09 - 2023.08)
Indonesia Flying Robot Contest 2018 (Honorable Mention)
Vertical Take-Off and Landing category (2018.11)
Skills
Programming Languages: Python (Pytorch, Tensorflow), C++ (ROS, OpenCV)
Languages: English (IELTS 8.0), Indonesia (Native)
Online Certifications
Tensorflow 2 for Deep Learning Specialization
(2021.10) Coursera and Imperial College London [link]
Generative Adversarial Networks Specialization
(2020.11) Coursera and DeepLearning.AI [link]
Self-Driving Cars Specialization
(2020.06) Coursera and University of Toronto [link]
Reinforcement Learning Specialization
(2020.04) Coursera and University of Alberta [link]
Robotics Specialization
(2024.03) Coursera and University of Pennsylvania [link]
Modern Robotics: Mechanics, Planning, and Control Specialization
(2020.01) Coursera andNorthwestern University [link]
TensorFlow Developer Specialization
(2019.12) Coursera and DeepLearning.AI [link]
Deep Learning Specialization
(2018.05) Coursera and DeepLearning.AI [link]