Hands-On Intelligent Agents with OpenAI Gym

"Hands-On Intelligent Agents with OpenAI Gym" is your gateway into the fascinating world of intelligent agents and deep reinforcement learning. This step-by-step guide provides the knowledge and tools you need to create agents that can solve complex tasks or control systems autonomously. By the end of the book, you'll have created working agents using OpenAI Gym and advanced RL algorithms.

What this Book will help me do

• Understand the principles of reinforcement learning and intelligent agents.
• Master OpenAI Gym and its features to develop and test AI agents.
• Develop deep Q-learning agents to solve decision-making tasks.
• Design custom learning environments to address real-world challenges.
• Create a deep actor-critic agent capable of autonomous car driving in CARLA.

Author(s)

Palanisamy None is an expert in artificial intelligence and reinforcement learning, with a focus on practical applications. Combining deep knowledge of algorithms and tools like OpenAI Gym, he adopts a hands-on approach in writing, ensuring readers grasp both the theory and application. His dedicated methodology meets learners at any level of their RL journey.

Who is it for?

This book is perfect for students, ML developers, and AI enthusiasts aiming to explore intelligent agents and RL. Newcomers to reinforcement learning and AI will find it accessible, though basic Python knowledge is beneficial. Readers seeking practical guidance on solving dynamic decision-making problems across domains will gain valuable insights.