Machine Learning for Robotics

Learning Objectives

• Train Deep Neural Networks for robotic vision
• Formulate Reinforcement Learning environments for control
• Deploy models efficiently on edge hardware
• Apply Imitation Learning to human demonstrations

Core Topics

Practical Exercise

Train a simple Deep Q-Network (DQN) agent in simulation to balance an inverted pendulum on a cart.

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