Official account of the Reinforcement Learning and Video Games Workshop at RLC 2025, August 5th.
Website: https://sites.google.com/view/rlvg-workshop-2025
A labeler for STEM professionals across the ATmosphere
A next-generation code editor that enables high-performance collaboration with AI and your team.
zed.dev
Senior Lecturer at Lancaster Uni, UK. Exploring macrobehaviour using coral reefs as a model system, interested in all things data sciencey. #MacrobehaviourLab https://sallykeith.weebly.com/
Building the future of mobile manipulation
Subgroup Lead at the University of Freiburg researching generalizability of RL and Automated RL
The behavior engine driving the future of interactive digital entertainment.
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
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/
Researching Artificial General Intelligence Safety, via thinking about neuroscience and algorithms, at Astera Institute. https://sjbyrnes.com/agi.html
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
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
AI for storytelling, games, explainability, safety, ethics. Professor at Georgia Tech. Director of ML Center at GT. Time travel expert. Geek. Dad. he/him
Researcher at Google and CIFAR Fellow, working on the intersection of machine learning and neuroscience in Montréal (academic affiliations: @mcgill.ca and @mila-quebec.bsky.social).
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.
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
UBC Computer Science; physics-based models of human movement; deep reinforcement learning; animation; robotics
Rogue game theorist and RL scientist in 🇨🇦. Formerly: co-founder Artificial.Agency, RS DeepMind, PhD UAlberta, Poker AI. Gaming 🎮🎲, curling 🥌, knitting 🧶, geocaching 🗺️. (he/him).
ML research scientist @LawZero
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
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
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
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
Postdoc at Meta FAIR, Comp Neuro PhD @McGill / Mila. Looking at the representation in brains and machines 🔬 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.
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.
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
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: 🧠 🏕️ 🏔️ 🏊🏻♂️ 🚴🏻♂️ 🏃🏻♂️ 🎨📚☕
https://raymondchua.github.io
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
PhD candidate at McGill and Mila (Quebec AI Institute) w/ Blake Richards and Doina Precup.
Doing research on AI and Neuroscience 🤖🧠
Based in Montreal. 🇨🇦
Assistant Professor of Computer Science, UC Irvine
Website: royf.org
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
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.
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
CS PhD @mcgill.ca and @mila-quebec.bsky.social, working on 🍒 and 🤖 stuff
ex- @LetsUnifyAI, @NUSComputing, @EngineeringOSU
https://modanesh.github.io/
📍 Montreal, Canada
Reinforcement learning, but without rewards.
Postdoc at the Technion. PhD from Politecnico di Milano.
https://muttimirco.github.io
Information and updates about RLC 2026 at Montreal, Quebec, Canada, from August 16 to 19.
https://rl-conference.cc
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 🇬🇧
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
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/
Researcher: reinforcement learning, planning, robotics.
Assistant Professor in machine learning @VUAmsterdam
Abstract representations+reinforcement learning.
AI Researcher. (Co)developed Highway Networks, Upside-Down RL, Bayesian Flow Networks, EvoTorch
📜 Learning is compression
https://rupeshks.cc/
AI. RL. Robots+Humans. Building general purpose agents.
Research Scientist in the Gaming and Interactive Agents Group at Sony AI.
Prev: MSFT Research, NVIDIA, Apple, UT Austin, CMU, IIT Jodhpur.
https://scholar.google.com/citations?user=zZhWSQ0AAAAJ&hl=en
CS assistant prof @Utah. Researches human-robot interaction, human-in-the-loop ML, AI safety and alignment. https://users.cs.utah.edu/~dsbrown/
postdoc @ ai lab, Vrije Universiteit Brussel
working on providing reliable and verifiable ai mechanisms
#RL & formal methods
delgrange.me
Research Scientist @ Google DeepMind, in open-ended learning, and AI for Scientific Discovery.
Machine Teacher. Research Scientist at Phaidra. PhD from TU Delft. Previously JP Morgan, Huawei, Unity.
https://www.suau.io/
⛷️ 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
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!
Co-Founder & CEO, Sakana AI 🎏 → @sakanaai.bsky.social
https://sakana.ai/careers
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/
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
