Computer OpenAI Gym / Baselines Introduction to Deep Learning and Reinforcement Learning Artificial Intelligence Programming Practice

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Computer
Artificial intelligence has become one of the hottest topics for game developers, as well as for students and researchers who want to learn machine learning, and new algorithms are being announced every day. Among them, 「 OpenAI 」, a non-profit organization established in December 2015, has become one of the main players. 「 OpenAI 」 has released the 「 OpenAI Gym 」, a reinforcement learning toolkit that anyone can use freely. This book contains a number of learning environments such as Atari's game environment and robot-controlled environment. This book provides step-by-step instructions on how to use the 「 OpenAI Gym 」 to create AI for capturing games. 「 OpenAI Gym 」 combines the 「 Stable Baselines 」, a collection of various reinforcement learning algorithms. This book also provides an overview of 「 Stable Baselines 」, details on each algorithm, and how to monitor the progress of learning. Atari's game environment includes many free games for AI capture, but the 「 Gym Retro 」 environment in 「 OpenAI Gym 」 is designed to capture more advanced commercial games. This book will actually capture paid games of 「 SONIC THE HEDGEHOG 」 (Sega / megadrive version). Besides retrogaming, 「 OpenAI Gym 」 is connected to a number of other environments, including the environment for capturing the latest games such as the Main-Craft, 」 「 StarCraft II, the Gym wrapper for capturing Unity games, robot-controlled reinforcement learning, and the environment for forecasting FX and stock price movements. At the end of this book, I will also provide an overview of various variations of learning. 「 」