Nikhef researchers study the interactions and structure of all elementary particles and fields at the smallest distance scale and the highest attainable energy.
Een moderne, onderzoeksintensieve universiteit met een lange en rijke geschiedenis. We zijn de grootste universiteit van NL met het breedste opleidingsaanbod. Making impact since 1632.
With over 400 years of history and a strong commitment to innovation and academic excellence, we offer a wide range of programs and opportunities to learn, grow and make an impact.
Follow for the latest #utrechtuniversity news, research & information
Onderzoeks- en onderwijsuniversiteit in Amsterdam. Meest duurzame universiteit van Nederland 2023 ๐ Unlock Your Potential. #VUamsterdam
We are the University of Groningen (short: UG) (Dutch: Rijksuniversiteit Groningen, kort: RUG), an open academic community since 1614 ๐ www.rug.nl
Posts in Dutch and English.
Questions? Our chat is open! ๐ฉ
Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU
https://emerge-lab.github.io
https://www.admonymous.co/eugenevinitsky
A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef
Writes http://interconnects.ai
At Ai2 via HuggingFace, Berkeley, and normal places
Research Scientist at Google DeepMind, interested in multiagent reinforcement learning, game theory, games, and search/planning.
Lover of Linux ๐ง, coffee โ, and retro gaming. Big fan of open-source. #gohabsgo ๐จ๐ฆ
For more info: https://linktr.ee/sharky6000
Principal Researcher @ Microsoft Research.
AI, RL, cog neuro, philosophy.
www.momen-nejad.org
Interested in cognition and artificial intelligence. Researcher at Anthropic; previously DeepMind, 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
professor at university of washington and scientist at Google DeepMind. computational cognitive scientist. working on social and artificial intelligence and alignment.
http://faculty.washington.edu/maxkw/
AI and Games Researcher at NYU. Head of AI at Nof1.
Researcher in robotics and machine learning (Reinforcement Learning). Maintainer of Stable-Baselines (SB3).
https://araffin.github.io/
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
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
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
Research Scientist @ Google Deepmind. Opinions are my own.
minsukchang.com
AI for storytelling, games, explainability, safety, ethics. Professor at Georgia Tech. Director of ML Center at GT. Time travel expert. Geek. Dad. he/him
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 @WashU๐ฉ๐ปโ๐ฌ Neuro PhD @Princeton, researching cognitive control, decision making & neurodivergent in computational psychiatry, she/her, Latina ๐จ๐บ. Views my own. Stand Up for Science!
See(k)ing the surreal
Causal World Models for Curious Robots @ University of Tรผbingen/Max Planck Institute for Intelligent Systems ๐ฉ๐ช
#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.
Postdoctoral researcher working on RL in POMDP at McGill and Mila - gsprd.be
Writing about robots https://itcanthink.substack.com/
RoboPapers podcast https://robopapers.substack.com/
All opinions my own
ML PhD Student @ Uni. of Edinburgh, working on Multi-Agent Problems. | Organiser @deeplearningindaba.bsky.socialโฌ @rl-agents-rg.bsky.socialโฌ | ๐ช๐น๐ฟ๐ฆ
kaleabtessera.com
UBC Computer Science; physics-based models of human movement; deep reinforcement learning; animation; robotics
Rogue game theorist and RL scientist in ๐จ๐ฆ. Formerly: co-founder Artificial.Agency, RS DeepMind, PhD UAlberta, Poker AI. Gaming ๐ฎ๐ฒ, curling ๐ฅ, knitting ๐งถ, geocaching ๐บ๏ธ. (he/him).
ML research scientist @LawZero
For professional, see https://cvoelcker.de
If I seem very angry, check if I have been watered in the last 24 hours.
Now ๐บ๐ธ flavoured, previously available in ๐จ๐ฆ and ๐ฉ๐ช
Building generally intelligent agents - ML, RL, Robotics
@nfinite.ai
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. ๐ง๐ท โพ๏ธ
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.
Associate Professor @ Trinity College Dublin. Computer Science, AI, Reinforcement Learning, Intelligent Mobility
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
Assistant Professor, McGill University | Associate Academic Member, Mila - Quebec AI Institute | Neuroscience and AI, learning and inference, dopamine and cognition
https://massetlab.org/
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
RS DeepMind. Works on Unsupervised Environment Design, Problem Specification, Game/Decision Theory, RL, AIS. prev CHAI_Berkeley
PhD student at Northeastern University | MARL | Ex Mila | rupalibhati.github.io
Ph.D. Candidate at Mila and the University of Montreal, interested in AI/ML connections with economics, game theory, and social choice theory.
https://manfreddiaz.github.io
Professor of Computer Science at Oxford. Senior Staff Research Scientist at Waymo.
LM/NLP/ML researcher ยฏ\_(ใ)_/ยฏ
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
Postdoc at Meta FAIR, Comp Neuro PhD @McGill / Mila. Looking at the representation in brains and machines ๐ฌ https://dongyanl1n.github.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.
RL researcher at DeepMind
https://schaul.site44.com/ ๐ฑ๐บ
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.
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.
Neuro + AI Research Scientist at DeepMind; Affiliate Professor at Columbia Center for Theoretical Neuroscience.
Likes studying learning+memory, hippocampi, and other things brains have and do, too.
she/her.
research scientist @deepmind. language & multi-agent rl & interpretability. phd @BrownUniversity '22 under ellie pavlick (she/her)
https://roma-patel.github.io
Teaching Faculty @ Princeton University | CMU, MIT alum | reinforcement learning, AI ethics, equity and justice, baking | ADHD ๐๐๐
I can be described as a multi-agent artificial general intelligence.
www.jzleibo.com
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
Research @OpenAI. I study Reinforcement Learning. PhD from UT Austin. Previously FAIR Paris, Meta US, NVIDIA, CMU, and IIT Kharagpur.
Website: https://hari-sikchi.github.io/
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
Iโm ๐ซ๐ท 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 @ENSTAParis๐ซ๐ท, TD Learning and deep RLing, representation matters
MVA/CentraleSupรฉlec 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
NeuroAI PhD Candidate at McGill / Mila.
Loves: ๐ง ๐๏ธ ๐๏ธ ๐๐ปโโ๏ธ ๐ด๐ปโโ๏ธ ๐๐ปโโ๏ธ ๐จ๐โ
https://raymondchua.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
๐Chicago, IL
Assistant Professor at UW and Staff Research Scientist at Google DeepMind. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from MIT. Check out https://socialrl.cs.washington.edu/ and https://natashajaques.ai/.
PhD candidate at McGill and Mila (Quebec AI Institute) w/ Blake Richards and Doina Precup.
Doing research on AI and Neuroscience ๐ค๐ง
Based in Montreal. ๐จ๐ฆ
Assistant Professor of Computer Science, UC Irvine
Website: royf.org
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
Associate Professor at Northeastern University and father of 3. Interests include artificial intelligence, reinforcement learning, and robotics (he/him).
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.
PhD Student working on Generlization and State abstractions in #RL, #MetaLearning, and #AutoRL
amsks.github.io
full-time ML theory nerd, part-time AI-non enthusiast
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of
@tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
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 ๐ญ๐ฆพ ๐
