Introduction

Machine learning specifically as it applies to robots — not generic ML theory, but the parts that matter for perception, decision-making, and control on physical systems.

What's covered (subtopics to add)

• Imitation learning
• Reinforcement learning for control
• Sim-to-real transfer
• Deep learning architectures used in robotics

Resources

Books

Papers

Repos

Courses / Videos

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