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cs.LG2025
ReLAM: Learning Anticipation Model for Rewarding Visual Robotic Manipulation
Nan Tang, Jing-Cheng Pang, Guanlin Li +2
Reward design remains a critical bottleneck in visual reinforcement learning (RL) for robotic manipulation. In simulated environments, rewards are conventionally designed based on…
cs.CL2025
Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition
Guanlin Li, Yuki Arase, Noel Crespi
Text simplification is crucial for improving accessibility and comprehension for English as a Second Language (ESL) learners. This study goes a step further and aims to facilitate…