This paper addresses current challenges in robot learning, such as selecting the appropriate generative models and enhancing the generalization capabilities of Behavioural Cloning (BC).

Why It Matters: Behavioural Cloning methods are gaining traction with large datasets and impressive solutions, making it challenging to keep up with the latest developments. This survey provides a unified framework to help you navigate the strongest strategies for applying BC models to robotic problems.

Location : Online

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