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week9_policy_II

Materials

This section covers some steroids for policy gradient methods, along with a cool general trick called

Practice

Go to seminar_TRPO_<framework>.ipynb and follow instructions in the notebook.

More: Reinforcement learning in large/continuous action spaces

While you already know algorithms that will work with continuously many actions, it can't hurt to learn something more specialized.

  • Lecture by J. Schulman - video
  • Q-learning with normalized advantage functions - article, code1, code2
  • Deterministic policy gradient - article, post+code
  • Stochastic value gradient - article
  • Embedding large discrete action spaces for RL - article
  • Lecture by A. Seleznev, 5vision (russian) - video