Author

Wei Liu

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Sep 2026

Behavior decision-making of intelligent vehicles using budgeted reinforcement learning

Autonomous vehicles (AVs) commonly adopt overly conservative driving behaviors to reduce the likelihood of low-probability traffic accidents. However, such conservatism often leads to ineffective interaction with other road users and may even result in prolonged inactivity. To address this issue, this paper proposes a...

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