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Bingbing Li

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#machine learning Preprint Oct 2026

PlanWAM: Planning-Shaped Future Representations for End-to-End Autonomous Driving

World models in end-to-end autonomous driving predict future scene evolution to provide foresight for trajectory planning. Existing methods mainly study how to predict the future and how to use it, but less often ask which future representation is actually most useful for planning. To this end, we propose PlanWAM, a Pl...

Jin-Chang Xu, Hong Yu, Feng-Wei Dong et al. · 0 citations
Jul 2026

On Optimal Event-Triggered Distributed Control for Stochastic Multi-Agent Systems via Reinforcement Learning

This work proposes a reinforcement learning (RL) based optimal distributed control algorithm for the multi-agent systems (MASs) with stochastic uncertainties that uses the actor-critic-identifier structure and provides a Lyapunov-based stability proof that guarantees all errors are bounded, ensuring precise tracking be...

Ziming Wang, Bingbing Li, Karl H. Johansson et al. · 0 citations

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