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Reinforcement Learning

Learning Objectives​

  • Understand the reinforcement learning paradigm
  • Learn key RL terminology and concepts
  • Understand the agent-environment interaction loop
  • Learn about policy gradient methods
  • Apply RL techniques to sequential decision problems

Lectures​

This module introduces reinforcement learning, covering fundamental concepts, terminology, and advanced methods like policy gradients.