This paper presents a framework that integrates input-to-state string stability (ISSS) theory with reinforcement learning to achieve stable, scalable, and adaptive swarm coordination. First, a virtual string perception decomposes $N$-agent interactions into parallel robot-following subtasks by synthesizing local virtua...
Yu-Chen Wei, Wenke E, Yu-Hsiang Su et al.· 2026 IEEE 22nd International...· 0 citations
FACTOR is introduced, which uses checkpoint-calibrated TD residuals to assign per-action credits that telescope to the trajectory advantage, and feedback-conditioned teacher-student likelihood gaps to allocate each credit across the realized action tokens.
Li-Chao Ma, Yang Sun, Shuai Zhao et al.· 3 citations
An adaptive Lyapunov-constrained imitation learning framework for vehicle trajectory tracking is proposed that significantly outperforms state-of-the-art baselines in collision avoidance and disturbance rejection and introduces a state-dependent adaptive decay rate.
Yuchen Wei, Yu-Hsiang Su, F. Arvin et al.· 2026 IEEE/ASME International...· 0 citations
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