Robotic Learning, Adaptive Systems and Reinforcement Learning

Robotic learning enables machines to improve their performance through data, interaction, and experience. This track focuses on reinforcement learning, imitation learning, adaptive control, self-supervised learning, transfer learning, and skill acquisition. Sessions will examine how learning-based approaches can enable robots to adapt to new tasks, environments, and operating conditions.

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