Pieter Abbeel

@pabbeel129k followers

Berkeley & Amazon

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Posts 97 posts

#	Date	Post	↓ Outlier	Views	Likes	Reposts	Bookmarks
1	Mar 12, '25	Founders who were PhD or post-doc in my lab at Berkeley, largely funded by NSF / DoD grants, start-up, market cap (collected by OpenAI Deep Research)	56.1×	1M	4.7k	476	1.5k
2	Feb 17, '19	Thrilled to be teaching a new course on Deep Unsupervised Learning with @peterxichen (ImprovedGAN, InfoGAN, PixelCNN++, VLAE, PixelSNAIL, Flow++), @hojonathanho (Flow++, GAIL), @ar	9.6×	0	1.7k	504	292
3	Mar 11, '24	Yes, 2024 is shaping up a big year for robotics! Introducing @CovariantAI's RFM-1, which just like Sora can generate video, but RFM-1 does it for robotic interaction with the world	9.2×	167k	779	151	275
4	Feb 16, '20	Want to learn some modern robotics? All lecture videos from CS287 Advanced Robotics Fall'19 offering are now available online.	7.6×	0	1.3k	365	294
5	May 2, '20	Want to learn more about GAN, DC GAN, ImprovedGAN, WGAN, WGAN-GP, Progr.GAN, SN-GAN, SAGAN, BigGAN(-Deep), StyleGAN-v1,2, VIB-GAN, GANs as Energy Models? Vid: Slides: Colab: w/@Ara	7.4×	0	1.2k	315	370
6	Dec 9, '24	Super-excited about what's ahead. Want to move the AI research frontier, join us! AGI-SFLab-Jobs@amazon.com	7.0×	127k	541	46	194
7	Mar 23, '21	Very excited to share the launch of my new podcast, The Robot Brains. The first episode was just released. My first guest is brilliant AI researcher, educator, and Director of AI a	6.8×	0	1.4k	272	148
8	Mar 6, '25	Basics of Deep RL tutorial I am still very happy with, as good a day as any to re-post :)	6.5×	118k	921	106	726
9	Dec 30, '18	Looking to study more AI in 2019? All materials of our Fall offering of CS188 Artificial Intelligence are now available here: @berkeley_ai @UCBerkeley	6.3×	0	1.1k	332	195
10	Oct 1, '25	Very excited to start sharing some of the work we have been doing at Amazon FAR. In this work we present OmniRetarget, which can generate high-quality interaction-preserving data f	6.1×	110k	361	43	117
11	Aug 25, '21	Excited to share a 6-lecture series on Foundations of Deep RL: MDP basics, value & policy iteration, max-ent, DQN, policy gradient, TRPO, PPO, DDPG, SAC, model-based RL. And we	5.9×	0	945	204	342
12	Jun 23, '19	All materials of @berkeley_ai Deep Unsupervised Learning now up: Great semester w/@peterxichen,@Aravind7694,@hojonathanho, and guest inst. @AlecRad,@ilyasut,A Efros,@avdnoord Cover	5.8×	0	1k	308	187
13	Apr 17, '20	Been looking to learn about CBOW, Glove, Word2Vec, Elmo, GPT, BERT, RoBERTa, ELECTRA, T5, GPT2, and, more generally, learning language models? Here is a wonderful lecture by @OpenA	4.9×	0	812	205	249
14	Feb 16, '20	One of my favorites from most recent offering of CS287 Advanced Robotics? Exam study handout summarizing all the main math in ~20pp. Incl. MaxEnt RL, CEM, LQR, Penalty Method, RRTs	4.6×	0	822	164	229
15	Aug 16, '23	Hard to imagine a better way for me to flash right back into @OpenAI early days 2016, inspiring clarity of thinking and communication by @ilyasut	4.3×	78k	273	37	161
16	Apr 5, '20	Been wanting to learn about CPC, CPC-v2, MoCo, SimCLR, MoCo-v2, and other self-supervised learning techniques? Wonderful lecture by @Aravind7694 for the @UCBerkeley Deep Unsupervis	3.9×	0	709	159	170
17	Jun 18, '20	Congatulations @karpathy!!!! Teaching the world Deep Learning, Pioneering Image Captioning w/@drfeifei, Founding @OpenAI, Pioneering AI Self-Driving at @Tesla w/@elonmusk. What a c	3.9×	0	1k	96	49
18	Mar 31, '25	I'm thrilled to share our first release as the AGI SF Lab. Meet Nova Act -- the most effortless way to build agents that can reliably use browsers, giving agents access to much of	3.9×	70k	520	62	340
19	Oct 10, '17	Deep RL Bootcamp lecture videos and labs release ! :) [Organized by @pabbeel, Peter Chen, Rocky Duan, @karpathy]	3.8×	0	677	302	3
20	Jan 24, '24	Love the content and how this is done! Great insights into how @berkeley_ai Prof. Mike Jordan thinks about the future of AI and also a look into his research style And thank you Ba	3.7×	66k	201	40	153
21	Mar 15, '23	Super-excited to kick off S3 of @therobotbrains podcast with Yoshua Bengio. We discuss LLMs, Higher-Level Cognition, Causality, GFlow Nets, Responsible AI, Human Creativity.	3.5×	64k	268	45	74
22	Jul 9, '20	Very excited to share we have now packaged our Full Stack Deep Learning Bootcamp materials into a (free) online course!	3.5×	0	709	130	123
23	Apr 7, '22	I couldn't be more honored. So thankful for all my amazing collaborators that made this possible, my students and colleagues at @UCBerkeley, collaborators at @OpenAI and @Covariant	3.5×	0	1k	38	16
24	May 10, '23	Thank you @geoffreyhinton for diving deeper into the major potential risks you see with AI, and also reminding us of the tremendous potential for AI to improve our lives.	3.4×	61k	250	48	86
25	Nov 30, '23	. @nvidia Jensen Huang has always been a big supporter of the research we do at Berkeley AI Research lab and also back when we were at OpenAI. It was really nice to now get to show	3.3×	60k	529	32	34
26	Feb 13, '24	Since AlexNet/ImageNet moment in October 2012, stock multiples: nvidia: ~250x amd: ~80x intel: ~2x	3.2×	58k	241	19	35
27	Jun 1, '22	Chatting with @geoffreyhinton was really inspiring, so excited to get to share our conversation: Apple: Spotify: Google: Youtube:	3.0×	0	497	106	152
28	May 24, '20	Been looking to learn about self-supervised learning--denoising AE, context encoders, rotation prediction, jigsaw, CPC, MoCo, SimCLR? Colab with tutorial-demos now released: (b	2.9×	0	462	137	141
29	Jul 1, '21	Very honored to share that I am the 2022 recipient of the prestigious @IEEEorg Kiyo Tomiyasu Award. A big thank you to all my collaborators, mentors, and nominators/letter writers!	2.9×	0	849	36	5
30	May 29, '25	FastTD3: "Minimum innovation, maximum results" Not the paper we had planned to write, but one of the works I am most proud of. We wanted to make sure our baseline (TD3) was a very	2.7×	48k	260	32	119
31	Mar 2, '18	My slides from today's Reinforcement Learning in AI event at Stanford: . Includes a bunch of pointers on getting started towards the end. Thanks @AndrewYNg for organizing, and was	2.6×	0	507	161	45
32	Jun 7, '19	Want to AutoAugment w/o original Google paper's budget to spend? Population-based Augmentation matches the performance -- with 1000x less compute! :) BLOG: PAPER: w/ @peterxichen ,	2.6×	0	473	131	82
33	Apr 6, '20	Been looking to learn about flow models? Full package released: - lecture: - slides: - lecture colab: - homework: w/Alex Li, Wilson Yan, @Aravind7694, @peterxichen, @hojonathanho	2.6×	0	450	94	133
34	Dec 28, '23	Biggest pro-tip I got in 2023 (h/t @RichardSocher): Keeping two dumbbells right on my desk, for quick lifts in little dead moments between meetings, when listening to a seminar, et	2.5×	46k	227	11	63
35	Feb 16, '20	Just released Colab accompanying the lecture on Autoregressive Models: Contains 9 demos/code (see image), including MADE,WaveNet,regular/GrayScale/Parallel PixelCNN All code by Wil	2.5×	0	422	106	119
36	Feb 12, '20	Last semester, a guest lecture fell through last minute. So improvised a lecture on the backstories behind some research papers -- i.e. not about the research results, but about ho	2.5×	0	484	87	95
37	Jan 31, '18	ICLR accepted paper analysis by Arthur Pajot. Berkeley coming in second after Google, followed by Stanford, CMU, Facebook, Microsoft, Oxford, IBM, Toronto, ETH, MIT, ... Many other	2.5×	0	443	177	1
38	Apr 16, '19	The Full Stack Deep Learning Bootcamp was a lot of fun in person, but of course not everyone can make it in person. Very excited to start releasing the materials today, here: Happy	2.5×	0	451	132	57
39	Dec 12, '17	All my #NIPS2017 slides in one place! Keynote main conf: Meta-learning symp: Robot Learning ws: Learning in Transportation ws: [w/Greg Kahn] Hierarchical RL ws:	2.4×	0	502	162	2
40	Nov 19, '20	Very excited to start offering Full Stack Deep Learning as a formal course at Berkeley this Spring, while also allowing anyone outside of Berkeley to learn along! If you want to fo	2.4×	0	441	79	112
41	Apr 25, '19	Video lectures of Day 2 of now posted! Includes Troubleshooting, Testing and Deployment, Research Directions, and guest lectures by @jeremyphoward and @RichardSocher!	2.4×	0	452	109	71
42	Dec 9, '21	From 5 years ago, still very relevant today:	2.3×	0	391	53	152
43	Jun 18, '18	Very excited to announce something we’ve been working on for a while now: 3-day bootcamp! Instructors: @sergeykarayev (@gradescope), @josh_tobin_ (Berkeley/OpenAI), @karpathy (Tesl	2.3×	0	462	116	29
44	Dec 7, '17	Thanks to everyone who made it to my talk today! Here are the slides: . #nips2017	2.2×	0	473	144	2
45	Dec 8, '17	Video of my keynote on Deep Learning and Robotics is now available here: (includes lots of meta-learning :) . #NIPS2017	2.2×	0	441	156	12
46	Jan 26, '20	Teaching Deep Unsupervised Learning (2nd edition) at @UCBerkeley this semester. You can follow along here: Instructor Team: @peterxichen , @Aravind7694 , @hojonathanho , Wilson Yan	2.2×	0	390	110	79
47	Apr 18, '22	Exciting announcement: in my @therobotbrains conversation with @geoffreyhinton (yes!!!!!!!!!), there will be some time for (prepared) audience questions. By Tuesday, post/like ques	2.2×	0	537	42	27
48	Oct 29, '24	Great ICLR 2024 talk on "The Emerging Science of Benchmarks" by Moritz Hardt (which I somehow didn't see, till now):	2.1×	39k	298	43	276
49	Mar 20, '19	My slides from this morning's keynote at #GTC19. Covered: - Few-Shot Reinforcement Learning - Leveraging Simulation - Model-based RL - Learning Representations for Exploration - Fe	2.0×	0	406	102	44
50	Mar 15, '18	Beautiful resource off @goodfellow_ian 's website I just learned about today: So many great presentations, wonderful to learn from, thanks Ian!	2.0×	0	420	103	29
51	Apr 27, '24	A fun short lecture on parallelization for training large models: by @wilson1yan and @haoliuhl	1.9×	35k	295	58	367
52	Jul 3, '17	Slides from my lecture today at CIFAR RL summer school:	1.9×	0	376	143	1
53	Feb 14, '24	Current works are restricted to short sequences of texts and images, limiting their ability to model the world. Presenting Large World Model (LWM): capable of processing long text,	1.9×	35k	216	35	89
54	Dec 31, '18	69 = number of invited talks in 2018. Most of these were tailored to specific private, non-technical audiences (so I haven't publicly shared those slides as I have often done for m	1.9×	0	399	71	51
55	Feb 23, '24	Gave a lecture on Diffusion Models yesterday with @wilson1yan and @kvfrans Thanks to it being Lecture 6 into the semester (rather than Lecture 1), we could even include Sora, Mobil	1.8×	32k	436	68	322
56	Aug 5, '19	Recently been spending a lot of time on sharing AI advances and trends with general audiences. Got a video recording of one of the sessions!	1.8×	0	336	81	57
57	Jun 27, '21	Very excited to share my CVPR keynote from this past week: I share my thoughts on how we might be able to achieve large pre-trained neural networks for robotics, hopefully getting	1.8×	0	340	55	81
58	Dec 7, '16	Slide-deck from NIPS Deep Reinforcement Learning via Policy Optimization tutorial by John Schulman and myself:	1.7×	0	307	143	2
59	Apr 3, '20	Been looking to learn more about Semi-Supervised Learning or Unsupervised Distribution Alignment? One hour tutorials, respectively by @Aravind7694 and @peterxichen, for CS294-158:	1.7×	0	326	66	71
60	Mar 23, '19	Deep Q learning requires many tricks to not diverge. We build on studies of stable (linear) function appr. (Gordon95: , Tsitsiklis,van Roy97: ) through contractions, and extend to	1.7×	0	346	87	38
61	Apr 19, '24	Great guest lecture yesterday by John Ingraham on Generative Models for Science	1.7×	30k	221	40	165
62	Sep 25, '19	Want to take your Deep Learning to next level w/real-world deployment in mind? Excited to announce Edition 3 of the Full Stack Deep Learning bootcamp! Keynotes: Franziska Bell @l2k	1.7×	0	300	58	71
63	Aug 25, '21	Excited to share the epic Season 1 finale of @therobotbrains with the amazing @ilyasut Co-Founder/Chief Scientist @OpenAI! His breakthroughs include AlexNet, seq2seq, MT, GPT, CLIP	1.7×	0	353	49	53
64	Mar 24, '25	My knee-jerk reaction was that sim-2-real wouldn't work watching the learned policy in sim (on left), but actually it does!	1.6×	28k	203	16	45
65	Aug 28, '19	SO EXCITED to share that @getonyxfit has publicly launched! 🎉 Everyone who has spent time in my lab, knows how much importance I put on exercise, and not just for myself :) Check	1.5×	0	363	55	21
66	Oct 20, '18	We release ProMP: Proximal Meta-Policy Search. Builds on MAML, E-MAML, DiCE, includes code for all. Code: Docs: . Paper: with Jonas Rothfuss, Dennis Lee, Ignasi Clavera, Tamim Asfo	1.5×	0	297	80	32
67	Feb 18, '19	Video of Lecture 1 of CS294-158 Deep Unsupervised Learning has been released We cover: - Course Logistics - Motivation - Autoregressive Models: MADE, Wavenet, PixelCNN(++), pixelsn	1.5×	0	305	67	39
68	Apr 17, '22	Re-reading #geniusmakers in preparation for the Season 2 finale guest of @therobotbrains	1.5×	0	267	25	100
69	Dec 17, '19	Want to catch up on some latest Deep RL work? Here is a zip file with all the camera-ready papers from the #NeurIPS2019 Deep RL Workshop!	1.5×	0	254	66	61
70	Dec 14, '21	Kenji Doya reminded us of the neuroscience version of @ylecun 's LeCake at this year's Deep RL workshop.	1.4×	0	248	60	64
71	Sep 17, '18	Model-based RL, while sample-efficient, often doesn't match performance of model-free RL. Model-based RL via Meta-Policy Optimization resolves this by meta-RL on an ensemble of lea	1.4×	0	289	79	22
72	Jul 17, '17	Robot: (1) watch, (2) similar task, (3) hallucinate success, (4) RL to success. by Y Liu,A Gupta,P Abbeel,S Levine	1.4×	0	264	102	0
73	May 6, '20	Very excited to share the news of our 40MM B-round led by @IndexVentures w/AI focused @radicalvcfund +existing investor @AmplifyPartners! In times when supply chain resilience/robu	1.4×	0	364	31	12
74	Jul 26, '21	Very excited to share our #ICML2021 tutorial materials on Unsupervised Learning for RL: w/@AravSrinivas Part I covers Representation Learning for RL. Part II covers Unsupervised Pr	1.4×	0	245	51	67
75	Apr 11, '20	Want to learn more about compression and the role of generative models? Covers: Kraft-McMillan, Shannon, Huffman, Arithmetic Coding, Asymmetric Numeral Systems (ANS), Bits-Back, co	1.4×	0	246	55	58
76	Apr 8, '21	Ep.3 of The Robot Brains Podcast is now live! I was fortunate enough to sit down with @ylecun. Yann is professor at NYU, Chief AI Scientist at Facebook, winner of the Turing Award	1.3×	0	279	47	36
77	Aug 23, '19	Finally got to read this wonderful tutorial on transformers by @pbloemesquire!	1.3×	0	239	61	46
78	Dec 12, '15	Deep Reinforcement Learning NIPS workshop so overcrowded that the security guard decided to keep out Rich Sutton!	1.3×	0	275	55	17
79	Sep 3, '20	Very excited about the @NeurIPSConf 2020 Deep RL Workshop! Amazing line-up of invited speakers: @marcgbellemare Matt Botvinick @RealAshEdwards Karen Liu @SusanMurphylab1 Anusha Nag	1.3×	0	276	55	22
80	Aug 20, '21	I believe ultimately most of the challenges towards value creation will be in the AI. But setting that aside, what's the hardest R&D ahead for hardware? I am gonna say "human-l	1.2×	0	314	29	11
81	Mar 8, '18	"Our results include using an entire NVIDIA DGX-1 to learn successful strategies in Atari games in single-digit minutes." (thanks @nvidia!) Also snuck in a 400K on seaquest (Fig. 4	1.2×	0	234	75	10
82	Apr 13, '19	Wonderful visit to NYU yesterday! Talk slides: Also lucky timing I was there same day as @ylecun 's Turing Award celebration! There was more than one cherry on the Le Cake :)	1.2×	0	345	22	10
83	Jul 27, '21	Some big news today: we / @CovariantAI raised 80MM C-round, led by @IndexVentures, and bringing in several new investors! So much exciting AI Robotics work ahead of us :)	1.2×	0	325	19	8
84	Feb 24, '19	Video of Lecture 2 of CS294-158 Deep Unsupervised Learning is up We cover: - Autoregressive Models: MADE, Wavenet, PixelCNN(++), pixelsnail (self-attention) [ctd] - Lossless Compre	1.2×	0	249	54	24
85	Feb 11, '18	Amazing, very accessible CS Theory talk series I just found out about today. Videos of all lectures available. Just watched Scott Aaronson and Mary Wootters' talks.	1.1×	0	274	62	2
86	Mar 8, '21	One of our key values at @CovariantAI is to always be learning. As part of this I have much enjoyed explaining the core ideas behind recent AI Robotics progress to our customers an	1.1×	0	243	34	35
87	Apr 19, '18	Beautiful op-ed and food for thought by Michael Jordan!	1.1×	0	208	74	14
88	Oct 8, '20	love this video of Jennifer @doudna_lab recorded this morning upon notification of her Nobel Prize (for CRISPR). Looks such an awesome lab to part of!	1.1×	0	240	50	8
89	Jun 16, '19	My slides from yesterday's talk on "Some of our Explorations of Exploration in RL" -- surveying many directions of work in exploration	1.1×	0	244	47	22
90	Apr 10, '18	Existing RL methods can be adapted to learn robust control policies capable of imitating a broad range of example motion clips, while also learning complex recoveries. paper: w/ @j	1.1×	0	209	76	8
91	Mar 6, '18	#nips2017 Meta Learning Symposium videos are now available here: Thanks to Risto Miikkulainen, Quoc Le, Kenneth Stanley, and Chrisantha Fernando for organizing!	1.1×	0	204	74	15
92	Aug 31, '18	NIPS Deep RL Workshop is happening again in 2018! Paper submission deadline is Friday Oct 12th. Exciting invited speakers line-up: @ylecun, Satinder Singh, Sham Kakade, @jeffclune,	1.1×	0	238	60	6
93	Feb 26, '19	What an exciting day! Got to personally brief His Majesty, King Philippe of Belgium on Artificial Intelligence. So genuinely kind and thoughtful. And so engaged in our discussion!	1.1×	0	346	8	2
94	Aug 27, '17	Vlad Minh at DeepRLBootcamp: Everything in Deep RL is still exciting. Nothing is solved. @VladMnih	1.0×	0	217	73	0
95	Oct 26, '17	Great feature on high schooler Kevin Frans, 1st author on just released @openai HRL paper, amazing to work with!	1.0×	0	223	64	0
96	Dec 14, '19	Distinct memory from first edition of Deep RL workshop, back in 2015: room so overcrowded the security guard couldn't let Rich Sutton in... This time, our room (West Exh. Hall C) s	1.0×	0	282	29	2
97	May 23, '18	Slides from my #ICRA2018 keynote on Deep Learning to Learn: photo credit @petitegeek	1.0×	0	211	53	10
98	Aug 11, '21	On Ep20 of @therobotbrains , I sit down with the amazing @drfeifei, Co-Director of @StanfordHAI, Member of Nat'l Acad. of Medicine She shares ImageNet origin stories, her interest	0.9×	0	204	32	17
99	Jan 29, '20	Couldn’t be more excited about what we are building! Yet, even more excited about @CovariantAI team, all brilliant and exceptional at working across team boundaries, engineering, r	0.8×	0	220	22	5

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