CartPole game by Reinforcement Learning, a journey from training to inference

This project is intended to play with CartPole game using Reinforcement Learning and to know how we may train a different model experiments with enough observability (metrics/monitoring). The model is divided basically in three parts: Neural network model, QLearning algorithm and application runner

Please visit this github project to learn more about this journey of training and deployming a Reinforcement Learning model.

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