arXiv Machine Learning August 17, 2026 By Anisa Saleem, Duksu Kim

CORAL: Curriculum-Optimized Reward Adaptation for LiDAR-Based Goal-Directed Urban Driving

Read the original on arXiv Machine Learning →

arXiv:2608. 14332v1 Announce Type: cross Abstract: Reinforcement learning is promising for autonomous urban driving, but long-horizon goal-directed navigation asks a policy to acquire several competing behaviors at once--reaching a distant goal, tracking a route, avoiding obstacles, obeying signals--and a fixed objective gives no order in which to learn them.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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