most citedConcertoRL: An Innovative Time-Interleaved Reinforcement Learning Approach for Enhanced Control in Direct-Drive Tandem-Wing Vehicles

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cs.LG2025

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning

Zhang Minghao, Yang Xiaojun, Wang Zhihe +1

This paper introduces the CRL2RT algorithm, an advanced reinforcement learning method aimed at improving the real-time control performance of the Direct-Drive Tandem-Wing Experimen…

cs.LG2024

A Plug-and-Play Fully On-the-Job Real-Time Reinforcement Learning Algorithm for a Direct-Drive Tandem-Wing Experiment Platforms Under Multiple Random Operating Conditions

Zhang Minghao, Song Bifeng, Yang Xiaojun +1

The nonlinear and unstable aerodynamic interference generated by the tandem wings of such biomimetic systems poses substantial challenges for motion control, especially under multi…