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CS285 DRL Notes-Lecture 3 Imitation Learning Models and Data

This is the reading note for Lecture 3 of Berkeley CS285, taught by Sergey Levine. Lecture 3 focuses on three questions: how to design models, how to organize data, and how to improve generalization t

2026-03-10

Lecture Notes

#DRL #CS285 #imitation learning #behavioral cloning #diffusion policy

CS285 DRL Notes-Lecture 2 Supervised Learning of Behaviors

This is the note of Berkeley CS285 taught by Sergey Levine. This lecture focuses on imitation learning with behavioral cloning (BC), why it can fail, and how DAgger addresses the key issue. Original s

2026-03-10

Lecture Notes

#DRL #CS285 #imitation learning #behavioral cloning

CS285 DRL Notes-Lecture 1 Introduction

This is the note of the Berkeley CS285 course taught by Sergey Levine. This is the first lecture about the introduction of DRL. What is reinforcement learning? Mathematical formalism for learning-base

2026-03-09

Lecture Notes

#DRL #introduction #CS285

Git Usage Guide

Welcome to Git! This is a quick, copy-paste friendly guide to get you productive fast. If you need deeper explanations, check the official Git docs or the excellent free book Pro Git. Quick StartInsta

2026-03-09

Technique Notes

#Git #tools