pGet hands-on experience in creating state-of-the-art reinforcement learning agents using TensorFlow and RLlib to solve complex real-world business and industry problems with the help of expert tips and best practicesstrongppbrppstrongKey Features strongpulliUnderstand how large-scale state-of-the-art RL algorithms and approaches workliliApply RL to solve complex problems in marketing, robotics, supply chain, finance, cybersecurity, and moreliliExplore tips and best practices from experts that will enable you to overcome real-world RL challengesliulpbrppBook Description strongppReinforcement learning RL is a field of artificial intelligence AI used for creating self-learning autonomous agents. Building on a strong theoretical foundation, this book takes a practical approach and uses examples inspired by real-world industry problems to teach you about state-of-the-art RL.ppbrppStarting with bandit problems, Markov decision processes, and dynamic programming, the book provides an in-dept