About this role
基于模仿学习和强化学习的挖掘机自动装车策略模型研究 at NetEase Leihuo (网易雷火). Location: Hangzhou, Zhejiang, China. Role: researching models, designing rewards, validating robustness Requirements: Strong Python and deep learning skills (PyTorch), solid ML foundations, interest in RL/imitation learning, good coding and teamwork; RL/robotics deployment, ROS, and Linux experience preferred. Category: Research and Development (R&D) Seniority: Entry Level Tools: Python, PyTorch, Linux, ROS Commitment: Internship Workplace: Onsite Languages: Chinese