CARLA

CARLA is a high-fidelity simulator that serves as a unified benchmarking platform for evaluating cooperative autonomous intersection management using multi-agent reinforcement learning.

Papers using CARLA (4)

LLM and AI Agents for Autonomous Systems: A Survey of Applications, Datasets, and Security Challenges2026 · 2 citesEvoDrive: Pareto Evolution for Safety-Critical Autonomous Driving via Self-Improving LLM Agents2026OpenCDA-MARL: A Unified Benchmarking Framework for Cooperative Autonomous Intersection Management With Multi-Agent Reinforcement Learning2026 · 1 citesShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling2026