NAVSIM-v-2
Emerging4papers using it
2025first seen
NavSim v-2 is a dataset/benchmark used to evaluate reinforcement learning algorithms for autonomous driving by providing real-world driving scenarios and performance metrics.
Papers using NAVSIM-v-2 (4)
- Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous DrivingDreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous DrivingWAM-Diff: A Masked Diffusion VLA Framework with MoE and Online Reinforcement Learning for Autonomous DrivingIRL-VLA: Training an Vision-Language-Action Policy via Reward World Model