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A Friendly Introduction to Deep Reinforcement Learning, Q-Networks and Policy Gradients

A Friendly Introduction to Deep Reinforcement Learning, Q-Networks and Policy Gradients

Serrano.Academy via YouTube Direct link

Introduction:

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Introduction:

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A Friendly Introduction to Deep Reinforcement Learning, Q-Networks and Policy Gradients

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  1. 1 Introduction:
  2. 2 Markov decision processes MDP:
  3. 3 Rewards:
  4. 4 Discount factor:
  5. 5 Bellman equation:
  6. 6 Solving the Bellman equation:
  7. 7 Deterministic vs stochastic processes:
  8. 8 Neural networks:
  9. 9 Value neural networks:
  10. 10 Policy neural networks:
  11. 11 Training the policy neural network:
  12. 12 Conclusion:

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