awesome-end-to-end-autonomous-driving
github.com/opendilab/awesome-end-to-end-autonomous-driving ↗A curated list of awesome End-to-End Autonomous Driving resources (continually updated)
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Papers
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me arxiv resources from awesome-end-to-end-autonomous-driving"
Installation instructions →What's inside
Papers
- Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion SkillsarXiv
- Automotive Driving ModelsOthers
- CARLAOthers
- ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the WorstarXiv
- COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCVPR 2022
- Driving in Dense Traffic with Model-Free Reinforcement LearningOthers
Showing a sample of 44 resources. View the full list on GitHub →