Jun Jet Tai

According to our database, Jun Jet Tai authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Takuma Seno

CoRR, 2024

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, Sander Schulhoff, Jun Jet Tai, Hannah Tan, Omar G. Younis

CoRR, 2024

2023

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

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

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

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

2021

FasteNet: A Fast Railway Fastener Detector.

Jun Jet Tai, Mauro Sebastián Innocente, Owais Mehmood

Proceedings of Sixth International Congress on Information and Communication Technology, 2021

2019

BOBBY2: Buffer Based Robust High-Speed Object Tracking.

Keifer Lee, Jun Jet Tai, Swee King Phang

CoRR, 2019