Hands-On Intelligent Agents with OpenAI Gym A step-by-step guide to develop AI agents using deep reinforcement learning

This book will guide you through the process of implementing your own intelligent agents to solve both discrete- and continuous-valued sequential decision-making problems with all the essential building blocks to develop, debug, train, visualize, customize, and test your intelligent agent implementations in a variety of learning environments, ranging from the Mountain Car and Cart Pole problems to Atari games and CARLA – an advanced simulator for autonomous driving.