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cs.RO2025
PAD-TRO: Projection-Augmented Diffusion for Direct Trajectory Optimization
Jushan Chen, Santiago Paternain
Recently, diffusion models have gained popularity and attention in trajectory optimization due to their capability of modeling multi-modal probability distributions. However, addre…
cs.MA2025
Learning Closed-Loop Parametric Nash Equilibria of Multi-Agent Collaborative Field Coverage
Jushan Chen, Santiago Paternain
Multi-agent reinforcement learning is a challenging and active field of research due to the inherent nonstationary property and coupling between agents. A popular approach to model…