2 papers
cs.RO2026
EvoHIL: Self-Evolving Reward and Flow-Matched Policy Optimization for Robust Human-in-the-Loop Reinforcement Learning
Shuoqin Zhang, Tongtong Cheng, Xiru Gao +7
Human-in-the-loop reinforcement learning (HIL-RL) enables robots to learn contact-rich manipulation from limited real-world interaction, but deployment exposes three coupled limita…
cs.CV2025
MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding
Tongtong Cheng, Rongzhen Li, Yixin Xiong +3
Accurate driving behavior recognition and reasoning are critical for autonomous driving video understanding. However, existing methods often tend to dig out the shallow causal, fai…