├── 1 - Table of contents.pdf ├── 2 - Overview of this book.pdf ├── 2 - Preface.pdf ├── 3 - Chapter 1 Basic Concepts.pdf ├── 3 - Chapter 10 Actor-Critic Methods.pdf ├── 3 - Chapter 2 State Values and Bellman Equation.pdf ├── 3 - Chapter 3 Optimal State Values and Bellman Optimality Equation.pdf ├── 3 - Chapter 4 Value Iteration and Policy Iteration.pdf ├── 3 - Chapter 5 Monte Carlo Methods.pdf ├── 3 - Chapter 6 Stochastic Approximation.pdf ├── 3 - Chapter 7 Temporal-Difference Methods.pdf ├── 3 - Chapter 8 Value Function Methods.pdf ├── 3 - Chapter 9 Policy Gradient Methods.pdf ├── 4 - Appendix.pdf ├── 5 - Errata for the Springer version.pdf ├── Book-all-in-one.pdf ├── Code for grid world ├── README.md ├── matlab_version │ ├── figure_plot.m │ ├── main_example.m │ ├── policy_offline_Q_learning.jpg │ ├── policy_offline_Q_learning.pdf │ ├── trajectory_Bellman_Equation.jpg │ ├── trajectory_Bellman_Equation.pdf │ ├── trajectory_Bellman_Equation_dotted.jpg │ ├── trajectory_Q_learning.jpg │ └── trajectory_Q_learning.pdf └── python_version │ ├── examples │ ├── __pycache__ │ │ └── arguments.cpython-311.pyc │ ├── arguments.py │ └── example_grid_world.py │ ├── plots │ ├── sample1.png │ ├── sample2.png │ ├── sample3.png │ └── sample4.png │ └── src │ ├── __pycache__ │ ├── grid_world.cpython-311.pyc │ ├── grid_world.cpython-38.pyc │ └── utils.cpython-311.pyc │ └── grid_world.py ├── Lecture slides ├── Readme.md ├── slidesContinuouslyUpdated │ ├── L1-Basic concepts.pdf │ ├── L10-Actor Critic.pdf │ ├── L2-Bellman equation.pdf │ ├── L3-Bellman optimality equation.pdf │ ├── L4-Value iteration and policy iteration.pdf │ ├── L5-Monte Carlo methods.pdf │ ├── L6-Stochastic approximation.pdf │ ├── L7-Temporal-Difference Learning.pdf │ ├── L8-Value function methods.pdf.pdf │ └── L9-Policy gradient methods.pdf └── slidesForMyLectureVideos │ ├── L1-basic concepts.pdf │ ├── L10_Actor Critic.pdf │ ├── L2-Bellman equation.pdf │ ├── L3-Bellman optimality equation.pdf │ ├── L4-Value iteration and policy iteration.pdf │ ├── L5-MC.pdf │ ├── L6-Stochastic approximation and stochastic gradient descent.pdf │ ├── L7-Temporal-difference learning.pdf │ ├── L8_Value function approximation.pdf │ └── L9_Policy gradient.pdf ├── Readme.md └── Readme_Images ├── BookCoverChinese.png ├── BookCoverSpringer.png ├── BookMap.png ├── EnglishLectureVideo.png ├── review1.jpg └── review2.jpg /1 - Table of contents.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning/HEAD/1 - Table of contents.pdf -------------------------------------------------------------------------------- /2 - Overview of this book.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning/HEAD/2 - Overview of this book.pdf 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