Playing TicTacToe with Reinforcement Learning and OpenAI Gym
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Learn how to create and teach an agent that never loses at TicTacToe using Temporal Difference Learning and OpenAI Gym. Reinforcement Learning is a trial and error based approach, perfect for training game-playing robots. OpenAI Gym is a python library that facilitates interaction between Agent/User/Robot and the environment, making it ideal for creating AI-powered games. Explore the powerful combination of Reinforcement Learning and OpenAI Gym to develop games with an AI aspect.
At a Glance
Learn how to create and teach an agent that never loses to play TicTacToe using a Reinforcement Learning algorithm called Temporal Difference Learning and Open AI Gym
Reinforcement Learning is a different style of machine learning different from supervised and unsupervised learning. It is learning what to do through trial and error. Reinforcement learning is also an excellent method used to train robots to play games. OpenAI Gym is a python library that standardizes the interaction between Agent/User/Robot and the environment so you can interact with a variety of Gym environments. Reinforcement Learning and OpenAI Gym is a great combination that can be used to create games with an AI aspect.
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