Rewards Prediction-Based Credit Assignment for Reinforcement Learning With Sparse Binary Rewards. - Minah Seo; Luiz Felipe Vecchietti; Sangkeum Lee 001; Dongsoo Har (IEEE Access, 2019)

Short-Term Predictive Power Management of PV-Powered Nanogrids. - Sang-Keum Lee 001; Hojun Jin; Luiz Felipe Vecchietti; Junhee Hong; Dongsoo Har (IEEE Access, 2020)

Power Management by LSTM Network for Nanogrids. - Sangkeum Lee 001; Luiz Felipe Vecchietti; Hojun Jin; Junhee Hong; Dongsoo Har (IEEE Access, 2020)

Batch Prioritization in Multigoal Reinforcement Learning. - Luiz Felipe Vecchietti; Taeyoung Kim; Kyujin Choi; Junhee Hong; Dongsoo Har (IEEE Access, 2020)

Power Management of Nanogrid Cluster with P2P Electricity Trading Based on Future Trends of Load Demand and PV Power Production. - Sangkeum Lee 001; Hojun Jin; Luiz Felipe Vecchietti; Junhee Hong; Ki-Bum Park; Dongsoo Har (CoRR, 2020)

Two-stage training algorithm for AI robot soccer. - Taeyoung Kim; Luiz Felipe Vecchietti; Kyujin Choi; Sanem Sariel; Dongsoo Har (PeerJ Comput. Sci., 2021)

AI World Cup: Robot-Soccer-Based Competitions. - Chansol Hong; In-Bae Jeong; Luiz Felipe Vecchietti; Dongsoo Har; Jong-Hwan Kim 001 (IEEE Trans. Games, 2021)

RelMobNet: End-to-End Relative Camera Pose Estimation Using a Robust Two-Stage Training. - Praveen Kumar Rajendran; Sumit Mishra; Luiz Felipe Vecchietti; Dongsoo Har (ECCV Workshops (6), 2022)

RELMOBNET: A Robust Two-Stage End-To-End Training Approach For MOBILENETV3 Based Relative Camera Pose Estimation. - Praveen Kumar Rajendran; Sumit Mishra; Luiz Felipe Vecchietti; Dongsoo Har (CoRR, 2022)

A Lightweight Domain Adaptive Absolute Pose Regressor Using Barlow Twins Objective. - Praveen Kumar Rajendran; Quoc-Vinh Lai-Dang; Luiz Felipe Vecchietti; Dongsoo Har (CoRR, 2022)

Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error. - Bumgeun Park; Taeyoung Kim; Woohyeon Moon; Luiz Felipe Vecchietti; Dongsoo Har (CoRR, 2022)

Sampling Rate Decay in Hindsight Experience Replay for Robot Control. - Luiz Felipe Vecchietti; Minah Seo; Dongsoo Har (IEEE Trans. Cybern., 2022)

Sensing Accident-Prone Features in Urban Scenes for Proactive Driving and Accident Prevention. - Sumit Mishra; Praveen Kumar Rajendran; Luiz Felipe Vecchietti; Dongsoo Har (IEEE Trans. Intell. Transp. Syst., 2023)

Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space. - Minji Lee; Luiz Felipe Vecchietti; Hyunkyu Jung; Hyun Joo Ro; Meeyoung Cha; Ho Min Kim (ICML, 2024)

Recent advances in interpretable machine learning using structure-based protein representations. - Luiz Felipe Vecchietti; Minji Lee; Begench Hangeldiyev; Hyunkyu Jung; Hahnbeom Park; Tae-Kyun Kim 001; Meeyoung Cha; Ho Min Kim (CoRR, 2024)

Exploring Persona-dependent LLM Alignment for the Moral Machine Experiment. - Jiseon Kim; Jea Kwon; Luiz Felipe Vecchietti; Alice Oh; Meeyoung Cha (CoRR, 2025)