Reinforcement Learning
Trying to rebuild the interesting tech community here with a focus on RL researchers. Papers not prompting tips.
Created by
@eugenevinitsky.bsky.social
@raghuspacerajan.bsky.social
PhD / PostDoc in Reinforcement Learning, AutoRL at the University of Freiburg. First author of MDP Playground. Opinions posted here are my own.
@ncklashansen.bsky.social
PhD student at UCSD. NVIDIA fellow. Prev: Meta AI, UC Berkeley, DTU. Interested in reinforcement learning and robots. 🏳️🌈 they/he https://www.nicklashansen.com
@daphne-cornelisse.bsky.social
PhD student at NYU | Building human-like agents | https://www.daphne-cornelisse.com/
@ben-eysenbach.bsky.social
Assistant professor at Princeton CS working on reinforcement learning and AI/ML. Site: https://ben-eysenbach.github.io/ Lab: https://princeton-rl.github.io/
@idurugkar.bsky.social
Reinforcement learning researcher, dabbled in robotics, and generative techniques that were later made out of date by diffusion. Currently at Sony AI, working on game AI
@matteobettini.bsky.social
PhD Candidate at Cambridge | ex Meta, Amazon | Studying diversity in multi-agent and multi-robot learning https://matteobettini.com/
@sologen.bsky.social
Research Goal: Understanding the computational and statistical principles required to design AI/RL agents. Associate Professor at Polytechnique Montréal and Mila. 🇨🇦 academic.sologen.net
@abiedenkapp.bsky.social
Subgroup Lead at the University of Freiburg researching generalizability of RL and Automated RL
@hardmaru.bsky.social
I work at Sakana AI 🐟🐠🐡 → @sakanaai.bsky.social https://sakana.ai/careers
@audurand.bsky.social
Associate professor @ Université Laval - IID - Mila Interested in reinforcement learning, bandits, partial monitoring, active learning, ... anything that learns by getting its own data from the environment!
@skiandsolve.bsky.social
⛷️ 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
@alizeepace.bsky.social
Gemini Post-Training @ Google DeepMind Previously: ETH Zurich, Cambridge, CERN alizeepace.com
@jfisac.bsky.social
Assistant Professor @ Princeton ECE Safe Human-Centered Robotics and AI
@marloscmachado.bsky.social
Assistant Professor at the University of Alberta. Amii Fellow, Canada CIFAR AI chair. Machine learning researcher. All things reinforcement learning. 📍 Edmonton, Canada 🇨🇦 🔗 https://webdocs.cs.ualberta.ca/~machado/ 🗓️ Joined November, 2024
@brosa.ca
Ph.D. Student studying AI & decision making at Mila / McGill University. Currently at FAIR @ Meta. Previously Google DeepMind & Google Brain. https://brosa.ca
@cathywu.bsky.social
AI+Transportation. Creating computational tools for engineers to reimagine systems for society. Neural combinatorial optimization. Reinforcement learning. Associate Prof. at MIT. Hype adjacent. http://www.wucathy.com/
@miguelsuau.bsky.social
Machine Teacher. Research Scientist at Phaidra. PhD from TU Delft. Previously JP Morgan, Huawei, Unity. https://www.suau.io/
@katjahofmann.bsky.social
At Microsoft Research. Lead of https://aka.ms/game-intelligence - we drive innovation in machine learning with applications in games. https://iclr.cc Board.
@cassidylaidlaw.bsky.social
PhD student at UC Berkeley studying RL and AI safety. https://cassidylaidlaw.com
@cong-ml.bsky.social
Research Scientist @ Google DeepMind, in open-ended learning, and AI for Scientific Discovery.
@florentdelgrange.bsky.social
postdoc @ ai lab, Vrije Universiteit Brussel working on providing reliable and verifiable ai mechanisms #RL & formal methods delgrange.me
@mwulfmeier.bsky.social
Large-Scale Robot Decision Making @GoogleDeepMind European @ELLISforEurope - imitation interaction transfer - priors: @oxfordrobots @berkeley_ai @ETH @MIT
@daniel-brown.bsky.social
CS assistant prof @Utah. Researches human-robot interaction, human-in-the-loop ML, AI safety and alignment. https://users.cs.utah.edu/~dsbrown/
@dabelcs.bsky.social
Researcher @ Google DeepMind and Honorary Fellow @ U of Edinburgh. RL, philosophy, foundations, AI. https://david-abel.github.io
@akanksha-saran.bsky.social
AI. RL. Robots+Humans. Building general purpose agents. Research Scientist in the Gaming and Interactive Agents Group at Sony AI. Prev: MSFT Research, UT Austin, CMU, IIT Jodhpur. https://scholar.google.com/citations?user=zZhWSQ0AAAAJ&hl=en
@rupspace.bsky.social
AI Researcher @ NNAISENSE. (Co)developed Highway Networks, Upside-Down RL, Bayesian Flow Networks, EvoTorch 📜 Learning is compression https://rupeshks.cc/
@vinfl.bsky.social
Assistant Professor in machine learning @VUAmsterdam Abstract representations+reinforcement learning.
@yus167.bsky.social
PhD at Machine Learning Department, Carnegie Mellon University | Interactive Decision Making | https://yudasong.github.io
@dtiapkin.bsky.social
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/
@ftudisco.bsky.social
Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ MiniML.ai | ftudisco.gitlab.io
@clarkai.bsky.social
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
@djfoster.bsky.social
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
@willemropke.bsky.social
PhD student | Interested in all things decision-making and learning
@upiter.bsky.social
PhD at NYU studying reasoning, decision-making, and open-endedness alum of MIT | prev: Google, MSR, MIT CoCoSci https://upiterbarg.github.io/
@ahana.bsky.social
Reinforcement Learning PhD student, UPF Barcelona. Uncertain in the face of optimism. ahanadeb.github.io
@pcastr.bsky.social
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦. https://psc-g.github.io/
@dylancope.bsky.social
Computer science PhD student researching multi-agent RL, emergent communication, and evolutionary computation. Safe and Trusted AI CDT @ KCL/Imperial. Previously visiting researcher at CHAI U.C. Berkeley. dylancope.com he/him London 🇬🇧
@rl-conference.bsky.social
Information and updates about RLC 2025 at the University of Alberta from Aug. 5th to 8th! https://rl-conference.cc
@mircomutti.bsky.social
Reinforcement learning, but without rewards. Postdoc at the Technion. PhD from Politecnico di Milano. https://muttimirco.github.io
@modanesh.bsky.social
CS PhD @mcgill.ca and @mila-quebec.bsky.social, working on 🍒 and 🤖 stuff ex- @LetsUnifyAI, @NUSComputing, @EngineeringOSU https://modanesh.github.io/ 📍 Montreal, Canada
@babak-heydari.bsky.social
Associate Prof at Northeastern University CoE and Network Science Institute | Building models and doing Interdisciplinary Research (AI/Network Science/Sociotechnical Systems)
@finbarr.bsky.social
building the future research at midjourney, deepmind. slinging ai hot takes 🥞at artfintel.com
@abhishekunique7.bsky.social
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 :)
@orrkrup.bsky.social
Robot Learning Research | Prev: PhD @Technion More data isn't all we need 🔭🦾 🌍
@bradknox.bsky.social
Research Associate Professor in CS at UT Austin. I research how humans can specify aligned reward functions.
@jan-peters.bsky.social
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of @tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
@amsks96.bsky.social
PhD Student working on Generlization and State abstractions in #RL, #MetaLearning, and #AutoRL amsks.github.io
@kennethmarino.bsky.social
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.
@cjdamato.bsky.social
Associate Professor at Northeastern University and father of 3. Interests include artificial intelligence, reinforcement learning, and robotics (he/him).
@vmoens.bsky.social
Research Engineer - PyTorch core - Meta@London - Open-source/open science advocate Maintainer of torchrl / tensordict / leanrl Former MD - Neuroscience PhD https://github.com/vmoens
@allenanie.bsky.social
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
@mandanas.bsky.social
PhD candidate at McGill and Mila (Quebec AI Institute) w/ Blake Richards and Doina Precup. Doing research on AI and Neuroscience 🤖🧠 Based in Montreal. 🇨🇦
@natashajaques.bsky.social
Assistant Professor at UW and Senior 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/.
@danielrjiang.bsky.social
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
@raymondrchua.bsky.social
NeuroAI PhD Candidate at McGill / Mila. Loves: 🧠 🏕️ 🏔️ 🏊🏻♂️ 🚴🏻♂️ 🏃🏻♂️ 🎨📚☕ https://raymondchua.github.io
@jmendezm.bsky.social
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
@stonet2000.bsky.social
PhDing @UCSanDiego @HaoSuLabUCSD @hillbot_ai on scalable robot learning, reinforcement learning, and embodied AI. Co-founded @LuxAIChallenge to build AI competitions. @NSF GRFP fellow http://stoneztao.com
@tomdupuis.bsky.social
PhD student @ENSTAParis🇫🇷, TD Learning and deep RLing, representation matters MVA/CentraleSupélec alumni
@noreward4u.bsky.social
Reward-Free Model-based Maximalist. High-dimensional Empowerment. Self-Preserving Autonomous Agents. Theories of intelligence grounded in compositional control.
@bramgrooten.bsky.social
PhD student at the TU Eindhoven. Researching deep learning, RL, sparse neural networks, robotics.
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com
@antoine-mln.bsky.social
doing a phd in RL/online learning on questions related to exploration and adaptivity > https://antoine-moulin.github.io/
@balloch.bsky.social
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
@stephmilani.bsky.social
PhD Student in Machine Learning at CMU. On the academic job market! 🐦 twitter.com/steph_milani 🌐 stephmilani.github.io
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@zicokolter.bsky.social
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
@lisaschut.bsky.social
phd student at university of Oxford 🌾 prev: visited the cocosci lab, google brain, deepmind 🐙
@harshitsikchi.bsky.social
(On job market) I study Reinforcement Learning. PhD at UT Austin. Previously FAIR Paris, Meta US, NVIDIA, CMU, and IIT Kharagpur. Website: https://hari-sikchi.github.io/
@soumithchintala.bsky.social
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
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@jzleibo.bsky.social
I can be described as a multi-agent artificial general intelligence. OK, so some people pointed out that I am not in fact artificial, contradicting my bio. To them I would reply that I am likely also a cognitive gadget. www.jzleibo.com
@vdean.bsky.social
Asst. Prof. @ Olin College of Engineering | CMU, MIT alum | reinforcement learning, AI ethics, equity and justice, baking | ADHD 💖💜💙
@rockt.ai
Director and Open-Endedness Team Lead Google DeepMind (GDM). Professor of Artificial Intelligence, University College London (UCL), and PI of @ucldark.com. Fellow, European Laboratory for Learning and Intelligent Systems (ELLIS).
@romapatel.bsky.social
research scientist @deepmind. language & multi-agent rl & interpretability. phd @BrownUniversity '22 under ellie pavlick (she/her) https://roma-patel.github.io
@neurokim.bsky.social
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.
@jhamrick.bsky.social
Senior staff research scientist at Google DeepMind. Opinions my own. She/her. Reasoning in LLMs 🤖 / planning 💭 / model-based RL 🌍 / cognitive science 🧠 / flowers🌷 / parenting 👶 / games 🎮 / public transit 🚆 http://www.jesshamrick.com
@mattieml.bsky.social
Reinforcement Learning Postdoc at FLAIR, University of Oxford @universityofoxford.bsky.social All opinions are my own.
@reniebird.bsky.social
Former AI Policy Advisor in the US Senate. Current Law and Society Fellow at UC Berkeley Simons Institute. Incoming Prof at Brown University. PhD at MIT CSAIL '23, Harvard '16, former Google APM. Dog mom to NSDTR Ducki.
@jmac-ai.bsky.social
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.
@behzadan.bsky.social
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.
@dongyanl1n.bsky.social
Postdoc at Meta FAIR, Comp Neuro PhD @McGill / Mila. Looking at the representation in brains and machines 🔬 https://dongyanl1n.github.io/
@yoavartzi.com
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