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cs.RO2025
Opinion: Towards Unified Expressive Policy Optimization for Robust Robot Learning
Haidong Huang, Haiyue Zhu. Jiayu Song, Xixin Zhao +4
Offline-to-online reinforcement learning (O2O-RL) has emerged as a promising paradigm for safe and efficient robotic policy deployment but suffers from two fundamental challenges:…
cs.LG2025
A Dual Large Language Models Architecture with Herald Guided Prompts for Parallel Fine Grained Traffic Signal Control
Qing Guo, Xinhang Li, Junyu Chen +4
Leveraging large language models (LLMs) in traffic signal control (TSC) improves optimization efficiency and interpretability compared to traditional reinforcement learning (RL) me…