Archives

从0构建大模型（1）

Lecture 10-Embodied Reasoning and Test-time Scaling

Lecture 11-Frontier and Open Problems

Lecture 4&5 — Reinforcement Learning

Lecture 6-Generative Models

Lecture 7-Sequence Modeling and Transformers

Lecture 8-World Models

Lecture 9-Generalist Robot Policies

Lecture 2&3-Robot Control, MDP and Imitation Learning

Lecture 3 — Imitation Learning Notes

Lecture 2- Robot Control & Markov Decision Processes Notes

Robot Learning 2026 – Lecture 1-Introduction