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Supervised Policy Learning for Real Robots - 2024 Tutorial

Machine Learning

About this opportunity

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 Teach, Study, Apply: Ask Flow!

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