Author

Wei Liu

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Sep 2026

Behavior decision-making of intelligent vehicles using budgeted reinforcement learning

A hierarchical framework for behavior decision-making and motion planning that explicitly accounts for the dynamic balance between safety and driving efficiency is proposed, and achieves a highly comparable safety-efficiency trade-off frontier to constrained MDP benchmarks but under a single unified network framework.

Wei Liu, Yong-Qing Jia, Chu-Dong Lin et al. · Proceedings of the Instituti... · 0 citations

Preprint Sep 2026

ForeDrive: Foresight-Guided End-to-End Autonomous Driving with a Planning-Relevant Latent World Model

Existing latent world models are typically optimized for future predictability, yet the resulting representations are not necessarily useful for planning in autonomous driving. Predictions are commonly used for pretraining or auxiliary supervision rather than as direct conditioning signals for trajectory generation. We...

Si-Nuo Wang, Zichong Gu, Yu-Han Huang et al. · 0 citations