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Materials:

  • Lecture slides

  • Russian:

  • English:

    • [main] Video-intro by David Silver (english) - video
    • [main] Lecture by J Schulman with crossentropy method explained (english) - url
    • Optional lecture by David Silver (english) - video

More materials:

  • [recommended] - awesome openai post about evolution strategies - blog post, article
  • [recommended] - formal explanation of crossentropy method in general and for optimization
  • Deep learning course (if you want to learn in parallel) - https://github.com/yandexdataschool/HSE_deeplearning
  • Video on genetic algorithms (english) - video
  • Another guide to genetic algorithm (english) - video
  • About Differential evolution (english) - pdf
  • Video on Ant Colony Algorithm (english) - video
  • Longer video on Ant Colony Algorithm (english) - video
  • Longer video on corssentropy method (russian) - video

Practice assignment

Instant dive in: seminar_gymnasium_interface, crossentropy_method, deep_crossentropy_method

  • Open seminar_gymnasium_interface.ipynb and follow instructions from there
  • After you're done there, proceed to crossentropy_method.ipynb
  • You can find homework and bonus assignment descriptions at the end of that notebook.
  • Note: so far it's enough to say pip install gymnasium on top of any data-science-stuffed python, but we'd appreciate if you gradually switch to full installation.