Modern Reinforcement Learning: Deep Q Agents (PyTorch & TF2)

Course content

  • Introduction
  • Fundamentals of Reinforcement Learning
  • Deep Learning Crash Course
  • Human Level Control Through Deep Reinforcement Learning: From Paper to Code
  • Deep Reinforcement Learning with Double Q Learning
  • Dueling Network Architectures for Deep Reinforcement Learning
  • Improving On Our Solutions
  • Conclusion
  • Bonus Lecture
  • Tensorflow 2 Implementations
  • Appendix

Leave a Reply

Your email address will not be published. Required fields are marked *