首页

投稿

【2026版】B站讲的最好的具身智能全流程教程，从基础入门到项目实战彻底讲透少走99%的弯路！-人工智能/大模型/强化学习

7075

110

2026-04-20 15:59:58

未经作者授权，禁止转载

从大模型与物理引擎联动讲起，拒绝枯燥理论。即使你零基础想入门学习，也能在1小时内跑通你的第一个具身智能仿真项目。【P2为零基础学习路线图】

具身智能入门

零基础入门

迪哥学AI 发消息

毕业论文辅导、顶会发刊、竞赛指导、机器学习、深度学习、强化学习、NLP等（基础/实战/论文）

什么是具身智能？

11:53

2026最新人工智能学习路线图

07:03

01 - Lecture 1- Course Introduction- What is Robot Learning._burned

01:01:16

02 - Lecture 2- Robot Learning- An Overview_burned

01:17:06

03 - Lecture 3- ML-DL Refresher Part 1_burned

01:15:27

04 - Lecture 4- ML-DL Refresher Part 11_burned

01:16:35

05 - Lecture 5- MDP Basics and Imitation Learning Part 1_burned

01:11:10

06 - Lecture 6- Imitation Learning Part 2_burned

01:11:36

07 - Lecture 7- Introduction to Reinforcement Learning_burned

01:14:06

08 - Lecture 8- Q Learning and Variants_burned

01:15:31

09 - Lecture 9- Q Learning & Variants-Policy Gradient Methods_burned

01:15:34

10 - Lecture 10- Policy Gradient Methods (Part II) and Actor-Critic Methods_bur

01:12:10

11 - Lecture 11- Advanced RL Algorithms Part 1_burned

01:09:14

12 - Lecture 12- Advanced RL Algorithms Part 2_burned

01:12:42

13 - Lecture 13- Introduction to Model-based RL and Control_burned

01:15:26

14 - Lecture 14- Optimal Control and Planning Part 1_burned

01:13:00

15 - Lecture 15- Optimal Control and Planning Part 2_burned

01:11:08

16 - Lecture 16- Model Learning and Deep MBRL_burned

01:15:17

17 - Lecture 17- Bandits and Preference-based Learning_burned

01:00:03

18 - Lecture 18- Preference-based Learning (Part II) and Exploration_burned

01:06:12

19 - Lecture 19- Guest Lecture- Offline Reinforcement Learningw_burned

01:21:21

20 - Lecture 20- Inverse Reinforcement Learning_burned

01:01:27

21 - Lecture 21- Guest Lecture- Yunzhu Li_burned

01:16:38

22 - Lecture 22- Robot Simulation and Sim2Real_burned

01:09:56

顶部