真机强化学习实习生
Tasks
- Apply multimodal learning with vision and tactile feedback
- Benchmark and evaluate algorithm performance
- Design reinforcement learning algorithms for robot embodiment tasks
- Develop and optimize reinforcement learning algorithms
- Develop task planning and control strategies
- Implement algorithm features and maintain code
- Improve algorithm robustness in real world deployment
- Optimize Sim2Real transfer techniques
- Research reinforcement learning methods
- Solve complex task decomposition and long horizon planning
- Support testing to optimize algorithm performance
Perks/Benefits
- N/A
Skills/Tech-stack
Actor-critic | Deep Q Networks | Embodied Foundation Model | Foundation Model | Isaac-Gym | Language Model | Large Language Model | Mujoco | Multimodal Learning | Policy Optimization | Proximal Policy Optimization | PyBullet | PyTorch | Python | Reinforcement Learning | Robotics simulation | Sim2real | Soft Actor Critic | TensorFlow | Vision Language Model | Vision-language
Education
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