Supervised Policy Learning for Real Robots - 2024 Tutorial
The tutorial explores advanced supervised policy learning (SPL) techniques for real-world robotic applications. It covers SPL algorithms, dataset considerations, handling multi-modality, and practical deployment issues. Key topics include behavior cloning and the application of advanced models like transformers and diffusion policies.
Materials: Video recordings, slides, reference code
Reading List: Papers on VINN, Behavior Transformers, Diffusion Policy, etc.
Organizers: Nur Muhammad "Mahi" Shafiullah, Siyuan Feng, Lerrel Pinto, Russ Tedrake
Actions for Practitioners :
- Watch the Tutorial: YouTube
- Review Materials: Access slides and code
- Apply SPL Techniques: Implement on your own datasets
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