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

: 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 ...

: Bernhard Jaeger, Daniel Dauner, Jens Beißwenger, Simon Gerstenecker, Kashyap Chitta, and Andreas Geiger : Proceedings of the Conference on Robot Learning

: A 2025 framework designed to improve Large Language Models' adherence to task constraints in planning problems like "BlocksWorld" and "TravelPlanner". 2025 : The paper introduces CaRL