Streaming Reinforcement Learning (RL) is a huge challenge: transitions are used once and discarded immediately. This makes agents extremely sample-inefficient. But what if we could "squeeze" more information out of every single frame?
Check out our latest paper!
I am recruiting several graduate students (both MSc and PhD level) for Fall 2026! The application deadline is December 01. Please apply through the Mila supervision request process here: mila.quebec/en/prospecti....
More details about the recruitment process here: chandar-lab.github.io/join/
If you are e.g. applying for a Mila or ELLIS Msc/PhD application, it's always worth getting feedback from someone who went through the same process, consider applying!
🎉 Announcing the winners of the #CoLLAs2025 Early-Career Spotlight Program!
These rising stars are pushing the boundaries of lifelong & continual learning, adaptation, and embodied AI.
👇 A thread introducing their work & talks.
#AI #MachineLearning #ContinualLearning #LifelongLearning
🧠 Don't miss the tutorials at #CoLLAs2025!
We’re excited to host two deep dives into the theory and practice of lifelong learning:
📍Information-Theoretic Measures for Multi-Expert FM Adaptation
📍Mathematics of Continual Learning
Details below 👇
📢 Only 8 weeks to #CoLLAs2025!
Tackle the real-world challenges of ML: catastrophic forgetting, dist. shift, continual RL, lifelong learning & more.
📍 Aug 11–14 @upenn.edu
🧠 Talks, workshops, posters, tutorials & community
🔗 lifelong-ml.cc/Conferences/...
#ContinualLearning #AI #MachineLearning
Have you tried paperfinder.allen.ai/chat ? I find it really useful for these kinds of things!
Applying RL to a real system? Having insightful experience, new methods, reviews, analysis to share?
We are excited to announce the @rl-conference.bsky.social 2025 workshop on Practical Insights into RL for Real Systems!
rl4rs.github.io/RL4RS
We know that policies learned through self-play can result in brittle, over-specialized strategies. But in our ICLR paper, we show that, provided the right representation and network architecture, self-play can learn generalizable cooperative policies! Congrats Arjun and Hadi for leading this work!
Come join us! Sarath is a great supervisor, being a postdoc at his lab myself, it has been an amazing experience!
📢 Call for Tutorials 📢
We’re inviting 2-hour tutorial proposals on continual learning, non-stationary learning, LLMs, neuroscience & more! 🧠📚
🔹 Deadline: April 15, 2025 (AoE)
💡 Suggest a topic: tutorials@lifelong-ml.cc
🔗 lifelong-ml.cc
#MachineLearning #ContinualLearning #AI #CallForTutorials
I am excited to share that our BindGPT paper won the best poster award at #AAAI2025! Congratulations to the team! Work led by @artemzholus.bsky.social!
Great work by great colleagues!
📢 Deadline Extension Alert! 📢
Good news! We’re extending the #CoLLAs2025 submission deadlines:
📝 Abstracts: Feb 26, 2025, 23:59 AoE
📄 Papers: Mar 3, 2025, 23:59 AoE
More time to refine your work—don't miss this chance to contribute to #lifelong-learning research! 🚀
🔗 lifelong-ml.cc
Our algo, IPRO, converges to the Pareto front and comes with strong guarantees with respect to the approximation error.
Congrats Willem, and really glad to have been part of this work!
CoLLAs deadline added:
Feb 21st for the abstract,
Fab 26th for the full paper.
Anywhere on earth
lifelong-ml.cc
NeurIPS Conference is now Live on Bluesky!
-NeurIPS2024 Communication Chairs
