跳至内容
首页Python

学习路径

Reinforcement Learning in Python

更新时间 2026年3月
Master the fundamentals of reinforcement learning (RL) to create models that can navigate complex real-world environments and train LLMs.
免费开始学习路径
PythonMachine Learning12 小时3,959

创建您的免费帐户

或

继续操作即表示您接受我们的《使用条款》和《隐私政策》，并同意您的数据存储在美国。

深受数千家公司学习者的喜爱

Group

培训2人或更多？

试用DataCamp for Business

学习路径描述

Reinforcement Learning in Python

Master the fundamentals of reinforcement learning (RL) and discover how to build models to navigate complex environments often found in robotics and video games.If you’re new to reinforcement learning or want to specialize in reinforcement learning as a branch of machine learning, this is an ideal place to start.You’ll start by learning about core reinforcement learning concepts, such as Markov decision processes, exploration/exploitation tradeoffs, and dynamic programming algorithms. You'll learn to apply Q-learning, SARSA, and other methods to navigate mountain ranges and frozen lakes from the Gymnasium library.You’ll merge deep learning and reinforcement learning and discover deep reinforcement learning, which can be used to train agents to navigate highly complex environments with little supervision.Along the way, you'll apply these techniques to tackle real-world projects, including optimizing taxi routes and stock trading simulation.With these reinforcement learning tools at hand, you're ready to begin tackling an exciting new application for reinforcement learning: reinforcement learning from human feedback (RLHF). RLHF can be used to improve LLM outputs by training on human feedback to its responses.Start your reinforcement learning journey today!

先决条件

此学习路径无先决条件

  • Course

    1

    Reinforcement Learning with Gymnasium in Python

    Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

  • Project

    额外

    Taxi Route Optimization with Reinforcement Learning

    Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.

Reinforcement Learning in Python
3 课程
学习路径完成

获得成就证明

将此证书添加到你的 LinkedIn 档案、简历或履历中
在社交媒体和绩效评估中分享立即注册

加入超过19百万学习者，今天就开始Reinforcement Learning in Python！

创建您的免费帐户

或

继续操作即表示您接受我们的《使用条款》和《隐私政策》，并同意您的数据存储在美国。

通过 DataCamp for Mobile 提升您的数据技能

随时随地通过我们的移动课程和每日 5 分钟编程挑战提升技能。