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EMG: Recruitment Experiment
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Probabilities and Statistics: Key Theorems and Applications
Discusses key statistical concepts, including sampling dangers, inequalities, and the Central Limit Theorem, with practical examples and applications.
Acquiring Data for Learning
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
