Cost-Matching Model Predictive Control for Efficient Reinforcement Learning in Humanoid Locomotion
arXiv:2603.28243v1 Announce Type: new
Abstract: In this paper, we propose a cost-matching approach for optimal humanoid locomotion within a Model Predictive Control (MPC)-based Reinforcement Learning (RL) framework. A parameterized MPC formulation wit…