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Develop and optimize robot skill learning algorithms and models, actively working on reinforcement learning, imitation learning, and deep learning. Conduct experimental verification and continuously improve algorithm performance for practical deployment in complex robotic tasks.
Responsibilities
- Develop and optimize robot skill learning algorithms and models, including reinforcement learning, imitation learning and related deep learning models
- Conduct experimental verification of algorithms and models
- Continuously improve the performance of algorithms and models
- Work with the data acquisition team to build and maintain training datasets
- Work with the robotics planning team to achieve practical deployment and reliable application of skills in performing complex tasks
Requirements
- Familiarity with reinforcement learning and imitation learning algorithms
- Relevant project experience in reinforcement learning and imitation learning
- Excellent programming skills
- Familiarity with Python, C++ and other programming languages
- Familiarity with PyTorch and other deep learning frameworks
- Experience in publishing papers in top conferences and journals in related fields (such as NeurIPS, ICML, ICLR, RSS, CoRL, ICRA, IROS, TRO, IJRR, RA-L) or equivalent
Qualifications
- Master degree or above, computer, artificial intelligence, automation, electronic engineering and other related majors preferred.
Skills
Python
*
C++
*
PyTorch
*
Deep Learning
*
Reinforcement learning
*
Imitation Learning
*
* Required skills