Robotics Research Intern - Post-Training
Tasks
- Apply sim to real policy distillation and adaptation
- Collaborate with researchers and engineers
- Develop offline to online reinforcement learning methods
- Evaluate data efficient adaptation to new tasks and environments
- Implement imitation learning with DAgger
- Investigate post training adaptation for pretrained robot policies
- Publish research findings
- Use world models for policy improvement planning and data generation
Perks/Benefits
Skills/Tech-stack
Dagger | Generative Modeling | Human-in-the-loop | Imitation Learning | Model-based reinforcement learning | Planning | Policy Distillation | PyTorch | Python | Reinforcement Learning | Robot Learning | Sim-to-Real | Simulation | The Loop | World Models
Education
Regions
Countries
States
Cities
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