File: C.a.r.l.v1.0.zip ... Review

: Proceedings of the Conference on Robot Learning (CoRL), 2025

: The paper introduces CaRL , a reinforcement learning (RL) planner for autonomous driving. It achieves state-of-the-art results on benchmarks like longest6 v2 and nuPlan , significantly outperforming prior methods such as "Roach" by reducing collisions and improving planning efficiency. Software and Resources File: C.A.R.L.v1.0.zip ...

The zip file typically contains the codebase and pre-trained weights for the following: : Proceedings of the Conference on Robot Learning

: Weights for the CaRL planner, which is noted as a top open-source RL planner for urban driving scenarios. 2025 : The paper introduces CaRL

: Bernhard Jaeger, Daniel Dauner, Jens Beißwenger, Simon Gerstenecker, Kashyap Chitta, and Andreas Geiger