3 papers
cs.RO2025
Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback
Suzie Kim, Hye-Bin Shin, Seong-Whan Lee
Conventional reinforcement learning (RL) ap proaches often struggle to learn effective policies under sparse reward conditions, necessitating the manual design of complex, task-spe…
cs.RO2025
Accelerating Reinforcement Learning via Error-Related Human Brain Signals
Suzie Kim, Hye-Bin Shin, Hyo-Jeong Jang
In this work, we investigate how implicit neural feed back can accelerate reinforcement learning in complex robotic manipulation settings. While prior electroencephalogram (EEG) gu…
cs.RO2025
Reinforcement Learning from Implicit Neural Feedback for Human-Aligned Robot Control
Suzie Kim
Conventional reinforcement learning (RL) approaches often struggle to learn effective policies under sparse reward conditions, necessitating the manual design of complex, task-spec…