Playing Games with Reinforcement Learning

edX MOOC / Non-credit USD 40
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Playing Games with Reinforcement Learning

About this course

Learn the fundamentals of reinforcement learning by building a grid-world environment and training a Q-learning agent to navigate it. Explore agent-environment interaction, reward design, and exploration strategies.

What you'll learn

  • understand the fundamentals of reinforcement learning
  • build a grid-world environment
  • train a Q-learning agent
  • explore agent-environment interaction
  • design effective reward systems
  • develop exploration strategies

Skills you'll gain

reinforcement learningartificial intelligencemachine learningQ-learningreward designexploration strategiesgrid-worldagent-environment interaction

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