As part of my focus, I have spent more than two years to try to make every part of the reinforcement learning system linked together and along with my efforts is this roughly organized book. This book tends to present both the theoretical and practical views of current reinforcement learning system, algorithms, applications and diving into the details of state-of-the-art algorithms. Now, though it covers most of the key ideas and algorithms in reinforcement learning, especially the deep RL, it is still far from being finished and will be iterated continuously in future.
      Below is the current content of the book, parts of which are still in process and may be adjusted according to their relative importance or connection.