2025
NeuTRL: Neural Trust-Guided Reinforcement Learning for Human-Robot Collaboration
RA-L 2025
Reinforcement Learning from Human Feedback (RLHF) enables robots to learn cooperative strategies aligned with human expectations by incorporating feedback into the learning process. However, existing RLHF methods rely on explicit query-based feedback, which is limited for complex, long-horizon tasks