Publications

Fairness in Repeated Matching: A Maximin Perspective
Eugene Lim, Tzeh Yuan Neoh, Nicholas Teh
Under Review, 2025

Stochastic Bandits for Egalitarian Assignment
Eugene Lim, Vincent Y. F. Tan, Harold Soh
Transaction of Machine Learning Research (TMLR), 2024
Paper

Don’t Start from Scratch: Behavioral Refinement via Interpolant-Based Policy Diffusion
Kaiqi Chen, Eugene Lim, Kelvin Lin, Yiyang Chen, Harold Soh
Robotics: Science and Systems (R:SS), 2024
Paper Code

Observed Adversaries in Deep Reinforcement Learning
Eugene Lim, Harold Soh
AAAI Fall Symposium Series, Artificial Intelligence for Human-Robot Interaction, 2022
Paper Code

Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects
Tasbolat Taunyazov, Luar Shui Song, Eugene Lim, Hian Hian See, David Lee, Benjamin C.K. Tee, Harold Soh
IEEE International Conference on Intelligent Robots and Systems (IROS), 2021
Paper Code

Juiced and Ready to Predict Private Information in Deep Cooperative Reinforcement Learning
Eugene Lim, Bing Cai Kok, Songli Wang, Joshua Lee, Harold Soh
ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2020
Paper