2 papers
cs.CV2026
X-Mind: Efficient Visual Chain-of-Thought via Predictive World Model for End-to-End Driving
Bohao Zhao, Chengrui Wei, Guangfeng Jiang +17
Predicting future states is essential for autonomous agents, yet current Vision-Language-Action (VLA) models fundamentally lack this capability, relying instead on reactive percept…
cs.AI2024
Speeding Up Path Planning via Reinforcement Learning in MCTS for Automated Parking
Xinlong Zheng, Xiaozhou Zhang, Donghao Xu
In this paper, we address a method that integrates reinforcement learning into the Monte Carlo tree search to boost online path planning under fully observable environments for aut…