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Qi Liao (1)Jue Yang (1)Yiting Kang (1)Xinxin Zhao (1)

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Mar 12, 2026

University of Science4d ago·also Jiangsu Xcmg Construction Machinery Research Institute Co.

Hybrid Energy-Aware Reward Shaping: A Unified Lightweight Physics-Guided Methodology for Policy Optimization

By blending physics-informed priors into model-free RL, H-EARS offers a lightweight, linear-complexity approach to significantly boost convergence, stability, and energy efficiency in continuous control tasks.

Qi Liao, Jue Yang, Yiting Kang +8

Robotics & Embodied AI Training Efficiency & Optimization

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