BOBBY2: Buffer Based Robust High-Speed Object Tracking. - Keifer Lee; Jun Jet Tai; Swee King Phang (CoRR, 2019)

FasteNet: A Fast Railway Fastener Detector. - Jun Jet Tai; Mauro Sebastián Innocente; Owais Mehmood (ICICT (1), 2021)

Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics. - Jun Jet Tai; Jordan K. Terry; Mauro Sebastián Innocente; James Brusey; Nadjim Horri (CoRR, 2022)

Analysis and Accuracy Improvement of UWB-TDoA-Based Indoor Positioning System. - Paolo Grasso; Mauro Sebastián Innocente; Jun Jet Tai; Olivier Haas; Arash Moradinegade Dizqah (Sensors, 2022)

COAA* - An Optimized Obstacle Avoidance and Navigational Algorithm for UAVs Operating in Partially Observable 2D Environments. - Jun Jet Tai; Swee King Phang; Felicia Yen Myan Wong (Unmanned Syst., 2022)

PyFlyt - UAV Simulation Environments for Reinforcement Learning Research. - Jun Jet Tai; Jim Wong; Mauro Sebastián Innocente; Nadjim Horri; James Brusey; Swee King Phang (CoRR, 2023)

Gymnasium: A Standard Interface for Reinforcement Learning Environments. - Mark Towers; Ariel Kwiatkowski; Jordan K. Terry; John U. Balis; Gianluca De Cola; Tristan Deleu; Manuel Goulão; Andreas Kallinteris; Markus Krimmel; Arjun KG; Rodrigo Perez-Vicente; Andrea Pierré; et al. (CoRR, 2024)

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning. - Hojoon Lee; Dongyoon Hwang; Donghu Kim; Hyunseung Kim; Jun Jet Tai; Kaushik Subramanian; Peter R. Wurman; Jaegul Choo; Peter Stone 001; Takuma Seno (ICLR, 2025)

A Champion-Level Vision-Based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7. - Hojoon Lee; Takuma Seno; Jun Jet Tai; Kaushik Subramanian; Kenta Kawamoto; Peter Stone 001; Peter R. Wurman (IEEE Robotics Autom. Lett., 2025)