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ICLR 2020: Yann LeCun and Energy-Based Models

Machine Learning Street Talk (MLST)

CHAPTER

Reinforcement Learning vs. Model Predictive Control

This chapter explores the differences between traditional reinforcement learning and model predictive control approaches, emphasizing the use of energy functions to evaluate car trajectories. It discusses the complexities of planning and following road rules in autonomous navigation, while highlighting the philosophical implications of various learning models.

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