G6-Bonus_Unit_2-Automatic_Hyperparameter_Tuning_with_Optuna-A0-Introduction

中英文对照学习，效果更佳！
原课程链接：https://huggingface.co/deep-rl-course/unit7/self-play?fw=pt

Introduction

引言

One of the most critical task in Deep Reinforcement Learning is to find a good set of training hyperparameters.

深度强化学习中最关键的任务之一就是找到一组好的训练超参数。

Optuna Logo
Optuna 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.

OpTuna Logo OpTuna是一个帮助您自动搜索的库。在本单元中，我们将学习一些自动超参数调整背后的理论。我们将首先尝试手动优化上一单元中学习的DQN的参数。然后，我们将学习如何使用OpTuna自动执行搜索。