Paper: arxiv.org/abs/2606.05555 Code: github.com/johanobandoc... Thanks for reading! If you're interested in multitask RL, representation learning, or scalable reinforcement learning, we'd love to hear your thoughts and feedback. I'll also be at #ICML2026 next week 🇰🇷
Who's Who of AI
Pablo Samuel Castro
Why follow
Researcher with public evidence across AI research, Models & releases.
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- 2 past 30d
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- 22d ago
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦.
https://psc-g.github.io/
What they're sharing
Representation Learning Enables Scalable Multitask Deep Reinforcement Learning arxiv.org
GitHub - johanobandoc/ScaleMRL: Code for "Representation Learning Enables Scalable Multitask Deep Reinforcement Learning" github.com
Articles & links
Paper: arxiv.org/abs/2606.05555 Code: github.com/johanobandoc... Thanks for reading! If you're interested in multitask RL, representation learning, or scalable reinforcement learning, we'd love to hear your thoughts and feedback. I'll also be at #ICML2026 next week 🇰🇷
Their own posts
Recent commentary
I'm excited to share our latest work “Representation Learning Enables Scalable Multitask Deep Reinforcement Learning”. In this work, we revisit a fundamental question in reinforcement learning: What if representation learning was the key ingredient behind scalable RL? 1/🧵
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