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SOMLab Research | A Multi-scale Spatio-temporal Interactive Attention Network for Traffic Flow Prediction

SOMLab team proposes a novel multi-scale spatio-temporal interactive attention network to improve traffic flow prediction accuracy

2025

SOMLab Research Review | Lyapunov-based Inverse Reinforcement Learning for Vehicle Following in Traffic Scenarios

SOMLab team proposes a Lyapunov function-based inverse reinforcement learning method to optimize control strategies for vehicle following in traffic scenarios

2025

Publication | SOMLab Research 'Safe Control for Multi-Agent Systems Based on Low-Complexity Control Barrier Functions' Published in IEEE TAC Long Paper

SOMLab latest research published in top control journal IEEE TAC, proposing safe control method for multi-agent systems based on low-complexity control barrier functions

2025