Repeats simulations about reinforcement learning in the book:
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
t03_values_iterations_3.py - value iteration algorithm on 4x3 world, see point in the book : 17.2.2 The value iteration algorithm
t04_values_iterations_4_animation.py - value iteration algorithm on 4x3 world with iteration visiaulization and saves result to mp4 video file, see point in the book : 17.2.2 The value iteration algorithm
Result:
https://www.youtube.com/watch?v=9YN1R6Lh9Jo
t05_policy_iterations_5_animation.py - policy iteration algorithm on 4x3 world with iteration visiaulization and saves result to mp4 video file, see point in the book : 17.3 POLICY ITERATION
Result:
https://www.youtube.com/watch?v=E8e5ed1MGMk
t08_q_learning_8_animation_tmp2.py - Q-learning algorithm on 4x3 world with iteration visiaulization and saves result to mp4 video file, see point in the book : 21.3 ACTIVE REINFORCEMENT LEARNING
Result:
https://www.youtube.com/watch?v=6KT5cmESrNw
vedenev/reinforcement_learning_learning
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|