Practical_RL/week01_intro at spring19 · itisgrisha/Practical_RL

Name		Name	Last commit message	Last commit date
parent directory ..
primer_python_for_ml		primer_python_for_ml
README.md		README.md
crossentropy_method.ipynb		crossentropy_method.ipynb
mlp_lunar_lander_v2.pkl		mlp_lunar_lander_v2.pkl
mlp_mountian_car_v0.pkl		mlp_mountian_car_v0.pkl
pong.py		pong.py
project_starter_evolution_strategies.ipynb		project_starter_evolution_strategies.ipynb
xvfb.pid		xvfb.pid

README.md

Lecture slides
Russian:
- Intro to RL - video
- Blackbox optimization - video
- Seminar - video only covering crossentropy method
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

[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

Open gym_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 gym on top of any data-science-stuffed python, but we'd appreciate if you gradually switch to full installation.