Hands-On Reinforcement Learning with Python

EPUB格式，包含配套代码。压缩包里还包括Fluent Python，PDF和EPUB格式；Python Master the Art of Design Patterns，PDF格式。 What you will learn Understand the basics of RL methods, algorithms, and elements Train an agent to walk using OpenAI Gym and Tensorflow Understand Markov decision process, Bellman's optimality, and temporal difference (TD) learning Solve multi-armed bandit problems using various algorithms Master deep learning algorithms, such as RNN, LSTM, and CNN with applications Build intelligent agents using the DRQN algorithm to play the Doom game Teach agents to play the Lunar Lander game using DDPG Train an agent to win a car racing game using dueling DQN