Kirk Borne

Reinforcement Learning — Industrial Applications of Intelligent Agents: https://link.amazon/B00Bo8Cnk Practical book with these benefits: • Learn what RL is and how the algorithms help solve problems • Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning • Dive deep into a range of value and policy gradient methods • Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning • Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more • Get practical examples through the accompanying website