Professor a NYU; Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate. http://yann.lecun.com

PhD student at @mcgillu/ @MILAMontreal. Bandits and Reinforcement Learning. BS, MS @Stanford 🇧🇩🇺🇸🇨🇦 I am on the job market! https://hmishfaq.github.io/

Mila I do work in Computer Vision, Science For Deep Learning Lookin to go to grad school

ML for remote sensing @Mila_Quebec * UdeM x McGill CS alum Interests: Responsible ML for climate & societal impacts, STS, FATE, AI Ethics & Safety prev: SSofCS lab 📍🇨🇦 Montreal (allegedly) TW: @XMichellelinX https://mchll-ln.github.io/

AI Research @ Mila | Harvard | Cambridge | Edinburgh

⛷️ ML Theorist carving equations and mountain trails | 🚴‍♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies. https://ualberta.ca/~szepesva

A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef Writes http://interconnects.ai At Ai2 via HuggingFace, Berkeley, and normal places

Principal Researcher @ Microsoft Research. AI, RL, cog neuro, philosophy. www.momen-nejad.org

Interested in cognition and artificial intelligence. Research Scientist at Google DeepMind. Previously cognitive science at Stanford. Posts are mine. lampinen.github.io

Staff research scientist at Google DeepMind. AI and neuro. Former physicist, current human. Find more at www.janexwang.com

AI, RL, NLP, Games Asst Prof at UCSD Research Scientist at Nvidia Lab: http://pearls.ucsd.edu Personal: prithvirajva.com

AI and Games Researcher at NYU. Head of AI at Nof1.

Professor, Department of Psychology and Center for Brain Science, Harvard University https://gershmanlab.com/

web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com

Researcher in robotics and machine learning (Reinforcement Learning). Maintainer of Stable-Baselines (SB3). https://araffin.github.io/

Research Engineer at Google DeepMind A special snowflake existing in 196883 dimensions #ActuallyAutistic He/Him

AGI research @DeepMind. Ex cofounder & CTO Vicarious AI (acqd by Alphabet), Cofounder Numenta Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics blog.dileeplearning.com

Researching Artificial General Intelligence Safety, via thinking about neuroscience and algorithms, at Astera Institute. https://sjbyrnes.com/agi.html

comp neuro, neural manifolds, neuroAI, physics of learning assistant professor @ harvard (physics, center for brain science, kempner institute) + @ Flatiron Institute https://www.sychung.org

assistant prof at USC Data Sciences and Operations and Computer Science; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity bureaucratic justice warrior angelamzhou.github.io

Full of childlike wonder. Building friendly robots. UT Austin PhD student, MIT ‘20.

Host TalkRL Podcast, Aspiring RL researcher AgFunder VC Head of Eng, Ex-MSFT, Waterloo computer engineering Sunshine Coast BC Canada

Assistant Professor the Polaris Lab @ Princeton (https://www.polarislab.org/); Researching: RL, Strategic Decision-Making+Exploration; AI+Law

Postdoc at @kthuniversity.bsky.social. Past: @gaipslab.bsky.social; Sony AI. Interested in all things RL and Multimodal. miguelvasco.com

Professor at INF - @ufrgs.br | Ph.D. in Computer Science. I am interested in multi-policy reinforcement learning (RL) algorithms. Personal page: https://lucasalegre.github.io

Abolish the value function!

Assistant Prof of AI & Decision-Making @MIT EECS I run the Algorithmic Alignment Group (https://algorithmicalignment.csail.mit.edu/) in CSAIL. I work on value (mis)alignment in AI systems. https://people.csail.mit.edu/dhm/

Staff scientist @WashU👩🏻‍🔬 Neuro PhD @Princeton, researching cognitive control, decision making & neurodivergent in computational psychiatry, she/her, Latina 🇨🇺. Views my own. Stand Up for Science!

See(k)ing the surreal Causal World Models for Curious Robots @ University of Tübingen/Max Planck Institute for Intelligent Systems 🇩🇪 #reinforcementlearning #robotics #causality #meditation #vegan

PhD. Student @ELLIS.eu @UniFreiburg with Thomas Brox and Cordelia Schmid Understanding intelligence and cultivating its societal benefits https://kifarid.github.io

Principal Scientist @LilaSciences. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.

Writing about robots https://itcanthink.substack.com/ RoboPapers podcast https://robopapers.substack.com/ All opinions my own

UBC Computer Science; physics-based models of human movement; deep reinforcement learning; animation; robotics

For professional, see https://cvoelcker.de If I seem very angry, check if I have been watered in the last 24 hours. Now 🇺🇸 flavoured, previously available in 🇨🇦 and 🇩🇪

Building generally intelligent agents - ML, RL, Robotics @nfinite.ai

Principal Research Scientist at IBM Research AI in New York. Speech, Formal/Natural Language Processing. Currently LLM post-training, structured SDG and RL. Opinions my own and non stationary. ramon.astudillo.com

PhD student at the University of Pennsylvania. Prev, intern at MSR, and Meta FAIR. Interested in reliable and replicable reinforcement learning, robotics and knowledge discovery: https://marcelhussing.github.io/ All posts are my own.

CS / AI / ML PhD / Professor. 🇧🇷 ♾️ Working on meta-learning, continual learning, control, evo, RL, game AI. Hobbyist game dev (@megamanbeyond.com) Local news and useless facts about my life in PT-BR. EN otherwise.

Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io

cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/

Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI. https://web.mit.edu/phillipi/

Associate prof @ UMass Amherst CICS. AIignment, reinforcement learning, imitation learning, and robotics.

Stupid #robotics guy at ETHz Twitter: https://x.com/ChongZitaZhang Research Website: https://zita-ch.github.io/

PhD student at @cmurobotics.bsky.social working on efficient algorithms for interactive learning (e.g. imitation / RL / RLHF). no model is an island. prefers email. https://gokul.dev/. on the job market!

Assistant prof at LTI CMU. Working on NLP: language interfaces, applied pragmatics, language-to-code, grounding. https://dpfried.github.io/

PhD Student at UC San Diego | LLM Agents, Reinforcement Learning, Human-AI Collaboration, Multi-Agent Systems

LM/NLP/ML researcher ¯\_(ツ)_/¯ yoavartzi.com / associate professor @ Cornell CS + Cornell Tech campus @ NYC / nlp.cornell.edu / associate faculty director @ arXiv.org / researcher @ ASAPP / starting @colmweb.org / building RecNet.io

Professionally curious about the science of making bad decisions; AI safety and security researcher; Assistant Professor of CS and Data Science & Director of the Secure and Assured Intelligent Learning (SAIL) lab @ University of New Haven.

Assistant Professor of CS @nyuniversity. I like robots!

Ask me about Reinforcement Learning Research @ Sony AI AI should learn from its experiences, not copy your data. My website for answering RL questions: https://www.decisionsanddragons.com/ Views and posts are my own.

RS at DeepMind. willwhitney.com

CS Prof at Brown University, PI of the GIRAFFE lab, former AI Policy Advisor in the US Senate, co-chair of the ACM Tech Policy Subcommittee on AI and Algorithms. PhD at MIT CSAIL '23, Harvard '16, former Google APM. Dog mom to Ducki.

Reinforcement Learning Postdoc at FLAIR, University of Oxford @universityofoxford.bsky.social All opinions are my own.

PhD Student at the Robot Learning Lab, University of Freiburg. Reinforcement Learning, World Models and Robot Manipulation. https://akshaychandra.com

Researching planning, reasoning, and RL in LLMs @ Reflection AI. Previously: Google DeepMind, UC Berkeley, MIT. I post about: AI 🤖, flowers 🌷, parenting 👶, public transit 🚆. She/her. http://www.jesshamrick.com

research scientist @deepmind. language & multi-agent rl & interpretability. phd @BrownUniversity '22 under ellie pavlick (she/her) https://roma-patel.github.io

ex-GenMusic co-lead @ DeepMind 👩🏻‍💻 🎸🎹, prog/metal/alt/classic rock, jazz, poetry, 🚣🏻‍♀️🚴🏻‍♀️🧘🏻‍♀️, traveling, festivals. Sometimes ❤️s AI/ML/data 📊 Attends too many concerts 🎫 King's/Darwin/Murray Edwards College, University of Cambridge 🎓

Teaching Faculty @ Princeton University | CMU, MIT alum | reinforcement learning, AI ethics, equity and justice, baking | ADHD 💖💜💙

AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com

Cofounded and lead PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source. http://soumith.ch

Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.

Professor at UT Nuremberg, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.

Robotics PhD Candidate @GeorgiaTech studying #RL and #AI I mostly tweet about #AI, #robots, #science, and #3dprinting My thoughts and opinions are my own. jballoch.com

doing a phd in RL/online learning on questions related to exploration and adaptivity > https://antoine-moulin.github.io/

Assistant Professor, University of Toronto. Junior Research Fellow, Trinity College, Cambridge. AI Fellow, Georgetown University. Probabilistic Machine Learning, AI Safety & AI Governance. Prev: Oxford, Yale, UC Berkeley, NYU. https://timrudner.com

PhD student at the TU Eindhoven. Researching deep learning, RL, sparse neural networks, robotics.

Reward-Free Model-based Maximalist. High-dimensional Empowerment. Self-Preserving Autonomous Agents. Theories of intelligence grounded in compositional control.

PhD student @ENSTAParis🇫🇷, TD Learning and deep RLing, representation matters MVA/CentraleSupélec alumni

PhDing @UCSanDiego @NVIDIA @hillbot_ai on scalable robot learning and embodied AI. Co-founded @LuxAIChallenge to build AI competitions. @NSF GRFP fellow http://stoneztao.com

Embodied lifelong learning (compositionality, RL, TAMP, robotics). Assistant Professor at Stony Brook ECE. Postdoc at MIT CSAIL, PhD from GRASP lab at Penn. https://jorge-a-mendez.github.io

In search of mathematics and ML content. PhD@NYU

Research Scientist Meta, Adjunct Professor at University of Pittsburgh. Interested in reinforcement learning, approximate DP, adaptive experimentation, Bayesian optimization, & operations research. http://danielrjiang.github.io 📍Chicago, IL

Assistant Professor of Computer Science, UC Irvine Website: royf.org

Graphic Designer since 2013 www.be.net/pdyraga

Stanford CS PhD working on RL and LLMs with Emma Brunskill and Chris Piech. Co-creator of Trace. Prev @GoogleDeepMind @MicrosoftResearch Specifically - Offline RL - In-context RL - Causality https://anie.me/about Unverified hot takes go to this account

RL & Meta-Learning @ DeepMind.

Member of technical staff @periodiclabs Open-source/open science advocate Maintainer of torchrl / tensordict / leanrl Former MD - Neuroscience PhD https://github.com/vmoens

Research engineer at InstaDeep working on multi-agent RL

Assistant Prof at University of Utah Fall 2025. NLP+CV+RL. RS at Google DeepMind. PhD from CMU MLD, undergrad Georgia Tech. Sometimes researcher, frequent shitposter.

Professor at ETH Zurich

Research Associate Professor in CS at UT Austin. I research how humans can specify aligned reward functions.

AI Researcher @ Hirundo | Prev: Robot Learning & RL PhD @Technion More data isn't all we need 🔭🦾 🌍

Assistant Professor, Paul G. Allen School of Computer Science and Engineering, University of Washington Visiting Faculty, NVIDIA Ph.D. from Berkeley, Postdoc MIT https://homes.cs.washington.edu/~abhgupta I like robots and reinforcement learning :)

building the future research at midjourney, deepmind. slinging ai hot takes 🥞at artfintel.com

Reinforcement learning, but without rewards. Postdoc at the Technion. PhD from Politecnico di Milano. https://muttimirco.github.io

Researching multi-agent RL, emergent communication, and evolutionary computation. Postdoc at FLAIR Oxford. PhD from Safe and Trusted AI CDT @ KCL/Imperial. Previously visiting researcher at CHAI U.C. Berkeley. dylancope.com he/him London 🇬🇧

Reinforcement Learning PhD student, UPF Barcelona. Uncertain in the face of optimism. ahanadeb.com

PhD at NYU studying reasoning, decision-making, and open-endedness alum of MIT | prev: Google, MSR, MIT CoCoSci https://upiterbarg.github.io/

PhD student | Interested in all things decision-making and learning

Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730

PhD student studying AI for tactical decision making in complex ocean environments @uniofbath.bsky.social Distinctly amateur cyclist, triathlete, sailor, climber https://scholar.google.com/citations?user=WE-zZMoAAAAJ&hl=en

Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io

PhD student at École polytechnique and Université Paris-Saclay 🇫🇷 Reinforcement Learning enjoyer, sometimes even with human feedback Ex. student-researcher at Google DeepMind Paris 🌐 https://d-tiapkin.github.io/

PhD at Machine Learning Department, Carnegie Mellon University | Interactive Decision Making | https://yudasong.github.io

Researcher: reinforcement learning, planning, robotics.

Assistant Professor in machine learning @VUAmsterdam Abstract representations+reinforcement learning.