美团【无人车北斗实习】强化学习实习生
实习兼职软硬件服务-无人车业务部地点：北京 | 深圳状态：招聘
任职要求
1. 硕士期间发表至少1篇、博士期间发表至少3篇 CCF-A 类强化学习方向论文 2. 具有头部自动驾驶公司强化…
登录查看完整任职要求
微信扫码，1秒登录
工作职责
【工作内容】 1. 深度参与强化学习算法的前沿探索，推动其在自动驾驶决策与规划场景中的落地应用 2. 设计并实现强化学习相关实验方案，完成算法验证、性能评估与迭代优化 3. 与团队紧密协作，将研究成果转化为可工程化落地的系统方案 【岗位吸引点】 1. 实量产场景验证：算法直接应用于美团 RoboVan 车队的决策规划模块，在复杂城市物流场景中完成真实闭环验证，研究成果不止于论文 2. 顶级技术环境：与强化学习方向资深研究员深度协作，接触国内少有的、将 RL 应用于规模化商业落地的完整技术栈 3. 全链路视角：在感知-决策-执行全链路自研的环境中工作，能从系统层面理解 RL 在自动驾驶中的真实挑战与价值
包括英文材料
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
自动驾驶+
https://www.youtube.com/watch?v=_q4WUxgwDeg&list=PL05umP7R6ij321zzKXK6XCQXAaaYjQbzr
Lecture: Self-Driving Cars (Prof. Andreas Geiger, University of Tübingen)
https://www.youtube.com/watch?v=NkI9ia2cLhc&list=PLB0Tybl0UNfYoJE7ZwsBQoDIG4YN9ptyY
You will learn to make a self-driving car simulation by implementing every component one by one. I will teach you how to implement the car driving mechanics, how to define the environment, how to simulate some sensors, how to detect collisions and how to make the car control itself using a neural network.