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8 lines
594 B
Plaintext
8 lines
594 B
Plaintext
# Introduction [[introduction]]
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One of the most critical task in Deep Reinforcement Learning is to **find a good set of training hyperparameters**.
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<img src="https://raw.githubusercontent.com/optuna/optuna/master/docs/image/optuna-logo.png" alt="Optuna Logo"/>
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[Optuna](https://optuna.org/) is a library that helps you to automate the search. In this Unit, we'll study a **little bit of the theory behind automatic hyperparameter tuning**. We'll first try to optimize the parameters of the DQN studied in the last unit manually. We'll then **learn how to automate the search using Optuna**.
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