Lecture Sharing | UCLA Assistant Professor Yang Lin: The Bridge between Theory and Practice in Reinforcement Learning - Code World

Lecture Sharing | UCLA Assistant Professor Yang Lin: The Bridge between Theory and Practice in Reinforcement Learning

News 2023-07-28 20:19:57 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/BAAIBeijing/article/details/131799329

Lecture Sharing | UCLA Assistant Professor Yang Lin: The Bridge between Theory and Practice in Reinforcement Learning

Large-scale language models from theory to practice: model foundation, data, reinforcement learning, application, evaluation

[Reinforcement Learning Theory] Temporal Difference Algorithm

[Reinforcement Learning Theory] Dynamic Programming Algorithm

(Reinforcement Learning) Q-Learning code practice

The professor opened a lecture-what exactly is machine learning?

November new book - "Reinforcement Learning: Algorithms and Theory" Share

Interpretation of MAPPO theory for multi-agent reinforcement learning

Summary of multi-agent reinforcement learning theory and algorithm

Theory and practice of socialism with Chinese characteristics related to learning

The first week of software engineering theory and practice of learning

[Fine] elasticsearch learning and practice (the first lecture)

[Fine] elasticsearch learning and practice (the first lecture)

[Fine] elasticsearch learning and practice (second lecture)

Mobile Cloud Database MySQL Practice Sharing | TeaTalk Online Lecture Record

What is the difference between model-based reinforcement learning and model-free reinforcement learning?

ADPRL - Approximate Dynamic Programming and Reinforcement Learning - Note 11 - Temporal Difference Learning (Theory of TD learning)

Paddle reinforcement learning from entry to practice (Day1)

Practice of Combinatorial Optimization Method Based on Deep Reinforcement Learning in Industrial Applications

Reinforcement Learning in Practice: Policy Gradient-Cart pole Game Showcase

[Book donation activity｜The sixth issue of "Reinforcement Learning: Principles and Python Practice"]

Reinforcement Learning Practice 7 || N-step DQN

Python reinforcement learning practice and detailed explanation of AI principles

Reinforcement learning code practice (3) --- Looking for the true self

Theoretical algorithm with both hands, UIUC assistant professor Sunruo Yu Wen reviewed 60 long deep learning optimization

Reinforcement Learning

Deep Learning Practice 62-Application of reinforcement learning in the field of simple games, code and steps for training Agent programs using reinforcement learning

Tensorflow reinforcement learning (Reinforcement learning)

[Reinforcement Learning Theory] Derivation of State Value Function and Action Value Function Series Formulas

A text to let you understand artificial intelligence, machine learning, the relationship between the depth of learning and reinforcement learning

Recommended

Ranking

Serialization TLV of Communication Protocol

sklearn stepping on confusion_matrix and KFold

ES6 中的 Iterator 迭代器

win10离线安装.NET Framework 3.5教程

Media Promotion Traps Revealed! MediaEasy helps you successfully avoid pitfalls!

2021年9月国产数据库大事记-墨天轮

2. Introduction to Java [IDEA]

HJ17 coordinate movement

Has something replaced BeanItemContainer in Vaadin 8?

leetcode-205- string isomorphic

Daily

More

2025-03-19(0)

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)

2025-03-14(0)

2025-03-13(0)

2025-03-12(0)

2025-03-11(0)

2025-03-10(0)