Все публикации

0:39:32

L12b Parallelization -- Instructor: Wilson Yan

0:53:00

L12a Multimodal Models -- Instructor: Wilson Yan

1:04:24

L13b Neural Radiance Fields -- Guest Lecturer Ben Mildenhall

1:20:01

L13a Generative Modeling for Science -- Guest Lecturer John Ingraham

1:27:25

L10 Semisupervised Learning and Unsupervised Distribution Alignment -- UC Berkeley Sprint 2024

1:13:54

L9 Generative Video -- UC Berkeley, Spring 2024 -- Wilson Yan

2:14:56

L8 Large Language Models (LLMs) --- Guest Instructor Hao Liu

2:31:55

L7 Self-Supervised Learning (Spring 2024, UC Berkeley) -- Pieter Abbeel & Philipp Wu

2:22:24

L6 Diffusion Models (SP24)

2:32:24

L5 GANs -- CS294-158 SP24 Deep Unsupervised Learning -- UC Berkeley

2:08:36

L4 Latent Variable Models and Variational AutoEncoders -- CS294-158 SP24 Deep Unsupervised Learning

2:19:31

L3 Flow Models

2:11:09

L2 Autoregressive Models -- CS294-158 SP24 Deep Unsupervised Learning -- UC Berkeley Spring 2024

1:19:11

L1 Introduction -- CS294-158 SP24 Deep Unsupervised Learning -- UC Berkeley Spring 2024

0:18:14

L6 Model-based RL (Foundations of Deep RL Series)

0:12:12

L5 DDPG and SAC (Foundations of Deep RL Series)

0:25:21

L4 TRPO and PPO (Foundations of Deep RL Series)

0:41:22

L3 Policy Gradients and Advantage Estimation (Foundations of Deep RL Series)

0:34:09

L2 Deep Q-Learning (Foundations of Deep RL Series)

1:16:10

L1 MDPs, Exact Solution Methods, Max-ent RL (Foundations of Deep RL Series)

0:48:04

CVPR 2021 Keynote -- Pieter Abbeel -- Towards a General Solution for Robotics.

2:01:56

L12 Representation Learning for Reinforcement Learning --- CS294-158 UC Berkeley Spring 2020

2:38:20

L11 Language Models -- guest instructor: Alec Radford (OpenAI) --- Deep Unsupervised Learning SP20

3:09:49

L10 Compression -- UC Berkeley, Spring 2020, CS294-158 Deep Unsupervised Learning