Ofir Nachum @ofirnachum
Research at @OpenAI. Previously at @GoogleAI on the Brain Team. Doing work on #ReinforcementLearning and #MachineLearning San Francisco Joined September 2012-
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See you all at the 2nd Foundation Models for Decision Making #NeurIPS2023 workshop tomorrow (Friday) at Hall E2 starting 8:15am. Don't miss out on an exciting line of speakers! See schedule and zoom link at neurips.cc/virtual/2023/w….
And come see our spotlight on decision-pretrained transformer at 10:45am Tuesday in the great hall or our poster #13 in b1-b2 level 1! Work lead by Jonathan Lee and Annie Xie w @chelseabfinn @aldopacchiano @ofirnachum
And come see our spotlight on decision-pretrained transformer at 10:45am Tuesday in the great hall or our poster #13 in b1-b2 level 1! Work lead by Jonathan Lee and Annie Xie w @chelseabfinn @aldopacchiano @ofirnachum
This is the reality that MIT President wants to hide. A letter from Israeli & Jewish MIT students: To all students at MIT, Today, Jewish and Israeli MIT students were physically prevented from attending class by a hostile group of pro-Hamas and anti-Israel MIT students that…
A reminder to submit your work to the Foundation Models for Decision Making NeurIPS workshop. The deadline is Oct 1 AoE.
Do you have lots of unlabeled offline interactions and don't want to train a reward model to annotate them? Our latest work @corl_conf proposes a simple contrastive objective to learn Q-values from a mix of reward-free and reward-labeled data. 👇 openreview.net/forum?id=oqOfL…
We will have an FMDM workshop at NeurIPS again this year! Please consider submitting if you are working at the intersection of foundation models (LLMs, diffusion, etc.) and decision making (RL, agents, human interaction, etc.)!
Come and talk to us about ALPT (action limited pretraining) this Thursday at 1:30pm (Hall 1 #104)!
Come and talk to us about ALPT (action limited pretraining) this Thursday at 1:30pm (Hall 1 #104)! https://t.co/Ixik5rxyuX
Super excited to share #CodeInterpreter with all #ChatGPT plus users! This allows chatgpt to take actions on your behalf (via the universal action space of code) with your data.
It was a pleasure to be one of the first to use this benchmark, training generalist agents with transformer-based policies!
It was a pleasure to be one of the first to use this benchmark, training generalist agents with transformer-based policies!
I'll present Dichotomy of Control today at 11am in the auditorium (Oral 3 Track 1) and poster session 11:30am - 1:30pm in MH1-2-3-4, #119. Hope to see you there. #ICLR23 Recording: iclr.cc/virtual/2023/p…
I'll present Dichotomy of Control today at 11am in the auditorium (Oral 3 Track 1) and poster session 11:30am - 1:30pm in MH1-2-3-4, #119. Hope to see you there. #ICLR23 Recording: iclr.cc/virtual/2023/p…
Jim Fan @DrJimFan
229K Followers 3K Following @NVIDIA Sr. Research Manager & Lead of Embodied AI (GEAR Lab). Creating foundation models for Humanoid Robots & Gaming. @Stanford Ph.D. @OpenAI's first intern.
Sergey Levine @svlevine
79K Followers 122 Following Associate Professor at UC Berkeley Co-founder, Physical Intelligence
Karol Hausman @hausman_k
22K Followers 141 Following @Physical_int ex: researcher @GoogleAI/@DeepMind, adj. Prof. @Stanford. Into robots, AI, NBA, philosophy, soccer and almond croissants. 🇵🇱🇺🇸
Shane Gu @shaneguML
28K Followers 1K Following Research Scientist & Manager @GoogleDeepMind Tokyo/MTV. ex: @GoogleAI Brain, @OpenAI. (JP: @shanegJP)
Eric Jang @ericjang11
69K Followers 3K Following physical AGI at 1X. Author of "AI is Good for You" https://t.co/eFg4WXhg0p
Danijar Hafner @danijarh
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Natasha Jaques @natashajaques
25K Followers 1K Following Senior Research Scientist at @GoogleAI and Assistant Professor @uwcse. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from @MIT.
Csaba Szepesvari @CsabaSzepesvari
8K Followers 704 Following "If there is not folly in the world, then the world itself is folly. You must understand that mistakes are not always regrets." - Paul Tobin, Bandette🤠
Marc G. Bellemare @marcgbellemare
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Pablo Samuel Castro @pcastr
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Animesh Garg @animesh_garg
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Ted Xiao @xiao_ted
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Jeff Dean (@🏡) @JeffDean
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Joshua Achiam ⚗️ @jachiam0
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AELO GOVNAH @Tw1tterV0yager_
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Jim Haney @Haneylive
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KyAltiX @1vdyJYjFUI1947
26 Followers 722 Following 64 The optimist sees the doughnut, the pessimist sees the hole. Good luck.
Simone Romeo @simone_m_romeo
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❍⏤꯭𓆩༎ࠫ�.. @_Juli_777_
475 Followers 4K Following Enthusiastic student of algorithm but with extensive knowledge, Lover of Japan and fully informed about world ▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄
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Mahesh Sathiamoorthy @madiator
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Fran @fypLA123
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Jim Fan @DrJimFan
229K Followers 3K Following @NVIDIA Sr. Research Manager & Lead of Embodied AI (GEAR Lab). Creating foundation models for Humanoid Robots & Gaming. @Stanford Ph.D. @OpenAI's first intern.
Sergey Levine @svlevine
79K Followers 122 Following Associate Professor at UC Berkeley Co-founder, Physical Intelligence
Karol Hausman @hausman_k
22K Followers 141 Following @Physical_int ex: researcher @GoogleAI/@DeepMind, adj. Prof. @Stanford. Into robots, AI, NBA, philosophy, soccer and almond croissants. 🇵🇱🇺🇸
Shane Gu @shaneguML
28K Followers 1K Following Research Scientist & Manager @GoogleDeepMind Tokyo/MTV. ex: @GoogleAI Brain, @OpenAI. (JP: @shanegJP)
Eric Jang @ericjang11
69K Followers 3K Following physical AGI at 1X. Author of "AI is Good for You" https://t.co/eFg4WXhg0p
Danijar Hafner @danijarh
14K Followers 868 Following Building AI that makes autonomous decisions using world models, artificial curiosity, and temporal abstraction @DeepMind
Natasha Jaques @natashajaques
25K Followers 1K Following Senior Research Scientist at @GoogleAI and Assistant Professor @uwcse. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from @MIT.
Csaba Szepesvari @CsabaSzepesvari
8K Followers 704 Following "If there is not folly in the world, then the world itself is folly. You must understand that mistakes are not always regrets." - Paul Tobin, Bandette🤠
Marc G. Bellemare @marcgbellemare
13K Followers 350 Following CSO & co-founder, Reliant AI. Ex RL research lead at Google Brain, DeepMind. Known for Atari 2600 RL benchmark, Distributional RL (MIT Press 2023).
Rosanne Liu @savvyRL
33K Followers 966 Following Cofounded & running @ml_collective. Host of Deep Learning Classics & Trends. Research at Google DeepMind. DEI/DIA Chair of ICLR & NeurIPS. Writing https://t.co/IbycyGfnDR
Pablo Samuel Castro @pcastr
10K Followers 813 Following Señor swesearcher @ Google DeepMind. Adjunct prof @ U de Montreal & Mila. Musician. From 🇪🇨 living in 🇨🇦.
Percy Liang @percyliang
49K Followers 408 Following Associate Professor in computer science @Stanford @StanfordHAI @StanfordCRFM @StanfordAILab @stanfordnlp | cofounder @togethercompute | Pianist
Soumith Chintala @soumithchintala
186K Followers 881 Following Cofounded and lead @PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source.
Ted Xiao @xiao_ted
11K Followers 680 Following I teach robots to be smarter @GoogleDeepMind. Tweets about robot learning, scaling, and large models. Opinions my own.
Kevin Patrick Murphy @sirbayes
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Richard Sutton @RichardSSutton
26K Followers 37 Following Student of mind and nature, libertarian, chess player, cancer survivor. @ Keen Technologies, UAlberta, Amii, RLAI, The Royal Society, RichSutton.eth
Noam Brown @polynoamial
34K Followers 612 Following Researching reasoning @OpenAI | Co-created Libratus/Pluribus, the first superhuman no-limit poker AIs | Co-created CICERO | PhD from @SCSatCMU
Kyunghyun Cho @kchonyc
61K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).
Jeff Dean (@🏡) @JeffDean
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Eric Wallace @Eric_Wallace_
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Mark Chen @markchen90
10K Followers 245 Following Head of Frontiers Research at OpenAI. Coach for the USA IOI Team.
Aidan Clark @_aidan_clark_
4K Followers 210 Following Research @OpenAI. Ex: @DeepMind, @BerkeleyDAGRS Hae sententiae verbaque mihi soli sunt
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107K Followers 0 Following Invented principles of meta-learning (1987), GANs (1990), Transformers (1991), very deep learning (1991), etc. Our AI is used many billions of times every day.
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Jerry Tworek @MillionInt
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Ronen Eldan @EldanRonen
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Yilun Du @du_yilun
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Tao Xu @txhf
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Aviral Kumar @aviral_kumar2
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Keiran Paster @keirp1
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Siddharth Karamcheti @siddkaramcheti
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502 Followers 2K Following learning how to be a physician scientist @ColumbiaPS • autophagy & neurodegeneration • 🏳️🌈 he/him
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Denny Zhou @denny_zhou
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Youngseog Chung @YoungseogC
319 Followers 346 Following PhD student at @mldcmu, @AutonLab | Jazz enthusiast | Tennis player
What a crazy night. Went to sleep after setting an alarm clock to 1:30am for when cruise missiles will arrive. At 2am - huge explosion in the sky. Until 5am - scrolling news on interceptions. 8am - kids wake me up, they don't know a thing. Amazing achievement Israel 🇮🇱
i like to think that when @paulg’s kids become adults he’ll stop referring to them as “15 yr old” and start saying “child 2”
scaling laws are decided by god; the constants are determined by members of the technical staff
One of the great pains in life is waking up and finding out the experiments i launched last night had a typo in the launch script
There is no greater fulfillment than the value your students place on your efforts in education! @TechnionLive
FMDM workshop happening now in Hall E2 with @percyliang giving the first talk and a packed audience.
See you all at the 2nd Foundation Models for Decision Making #NeurIPS2023 workshop tomorrow (Friday) at Hall E2 starting 8:15am. Don't miss out on an exciting line of speakers! See schedule and zoom link at neurips.cc/virtual/2023/w….
And come see our spotlight on decision-pretrained transformer at 10:45am Tuesday in the great hall or our poster #13 in b1-b2 level 1! Work lead by Jonathan Lee and Annie Xie w @chelseabfinn @aldopacchiano @ofirnachum
Transformer agents can do in-context RL by imitating RL algorithms, but is this necessary? We find that pretraining to imitate task experts (or approx. ones) is sufficient *and* can do more efficient in-context exploration/RL. Paper at #NeurIPS2023: arxiv.org/abs/2306.14892
📢Life update:📢 I moved to Toronto, where I'm now an associate professor at the University of Toronto and an associate research director at the Vector Institute. I wrote a blog post about the long winding path that led me here: colinraffel.com/blog/moving-to…
I'm very excited to share that I've started as an Assistant Professor of Computer Science at Stanford University! My lab will focus on self-improving AI methodologies and systems. Looking forward to working with the next generation of researchers! (azaliamirhoseini.com)
Also thanks to @hausman_k, @kuanghueilee and @ofirnachum for some super helpful discussion during the conception of this work!
Introducing Universal Simulator (UniSim), an interactive simulator of the real world. Interactive website: universal-simulator.github.io Paper: arxiv.org/abs/2310.06114
would you rather be a thinker or a shaper [and what the hell is the inclusion criteria for innovators]
Do you have lots of unlabeled offline interactions and don't want to train a reward model to annotate them? Our latest work @corl_conf proposes a simple contrastive objective to learn Q-values from a mix of reward-free and reward-labeled data. 👇 openreview.net/forum?id=oqOfL…
New desk setup. Initially struggled to get the monitor arms in position. Luckily, the guy sitting next to me (@hwchung27) happens to have a PhD in mechanical engineering from MIT and was able to help! Turns out PhDs can come in handy for AI researchers after all :)
[5/5] 4) Supervised Pretraining Can Learn In-Context Reinforcement Learning. New Frontiers in Learning, Control, and Dynamical Systems - Joint with Jonathan Lee, Annie Xie, Yash Chandak, Chelsea Finn, Ofir Nachum @ofirnachum and Emma Brunskill. Link: arxiv.org/abs/2306.14892
Come and talk to us about ALPT (action limited pretraining) this Thursday at 1:30pm (Hall 1 #104)!
In our recent work ALPT, I was surprised that inverse dynamics model pretrained on Freeway (Atari game only moving up and down) dramatically improves performance of Breakout (only moving left and right). One step closer towards cross-domain generalization: arxiv.org/abs/2211.13337
In 2014 I moved from SF -> London to join DeepMind. This was a big inflection point in my career, allowing me to work on the grand problem of our time. Still grateful to @demishassabis for giving me a chance🙏 After some time away I'm delighted to be rejoining Google DeepMind 🥂
Super excited to share #CodeInterpreter with all #ChatGPT plus users! This allows chatgpt to take actions on your behalf (via the universal action space of code) with your data.
I got introduced as a “Twitter AI influencer” at a recent party and a little part of me died with cringe 😬
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