Playing TicTacToe with Reinforcement Learning and OpenAI Gym

Learn to design and train an agent that is never lost when playing TicTacToe by using an Reinforcement Learning algorithm known as Temporal Difference Learning and Open AI GymReinforcement Learning is a distinct type of machine learning that is different from unsupervised and supervised learning. It's learning how to perform a task by trial and trial and. It is also an effective method to teach robots how to engage in games. The OpenAI Gym is a Python library that will standardize the interaction between the Agent/User/Robot with the environment to allow interaction with a range different Gym environments. Reinforcement Learning along with OpenAI Gym is a great combination that can be utilized to develop games that incorporate the AI aspect.In this Guided Project, you will be taught ways to work with the OpenAI Gym environment. We will work with an environment that was designed specifically to play TicTacToe and you will be taught how to create customized environments. We will also learn about reinforcement learning and an algorithm called Temporal Difference Learning, and how to create an Agent that uses Temporal Difference Learning to play TicTacToe. We will also play TicTacToe using our specially trained agent and our environment. We will also look at an illustration of an TicTacToe game that uses a graphic user interface.