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I’m super excited to share our work on AdA: An Adaptive Agent capable of hypothesis-driven exploration which solves challenging unseen tasks with just a handful of experience, at a similar timescale to humans. sites.google.com/corp/view/adap… See the thread for more details 👇 [1/N]

Amazing work by Feryal and colleagues! MetaRL at scale + many innovations = powerful adaptive agents with interesting emerging capabilities. 😎🎉 Love the acronym ❤️

Excited to share our new survey paper of meta-RL! 📊🤖🎊 arxiv.org/abs/2301.08028 Many thanks to my co-authors for the hard work, Risto Vuorio, Evan Liu, Zheng Xiong, Luisa Zintgraf, Chelsea Finn, Shimon Whiteson Highlights in the thread below!

We just released a meta-RL survey paper 🤖🦾 This work was done by lab members, Jacob Beck, Risto Vuorio, Zheng Xiong, Luisa Zintgraf, Shimon Whiteson, in addition to our wonderful collaborators at Stanford, Evan Liu and Chelsea Finn Check out the thread for some highlights ⬇️

Our Meta-RL survey paper is out! 🎉🙌 Did you ever wish there was a comprehensive overview of Meta-RL literature? Or do you just need a distraction from the ICML deadline? Help with writing the related work section? We’ve got you covered! So happy to finally share this 🙃❤️

Check out our new survey of meta-reinforcement learning, the result of a great Oxford/Stanford collaboration.

In case you missed it in the ICML rush, we released a meta-RL survey paper! 🤖 Work by Jacob Beck, Risto Vuorio, Zheng Xiong, Luisa Zintgraf, Shimon Whiteson, in addition to our wonderful collaborators at Stanford, Evan Liu and Chelsea Finn Highlights in this thread ⬇️

🚀 How can meta-learning, self-attention & JAX power the next generation of Evolutionary Optimizers 🦎? Excited to share my @DeepMind internship project and our #ICLR2023 paper ‘Discovering Evolution Strategies via Meta-Black-Box Optimization’ 🎉 📜: openreview.net/forum?id=mFDU0…

Episode 39 Jacob Beck and Risto Vuorio of WhiRL at University of Oxford on their recent Survey of Meta-Reinforcement Learning. podcasts.apple.com/us/podcast/jac…

Check out a new TalkRL Podcast episode with Jacob Beck and me where we talk about our recent meta-RL survey with Evan Liu, Zheng Xiong, Luisa Zintgraf, Chelsea Finn, and Shimon Whiteson. This should hopefully be an accessible discussion to anyone in ml curious about meta-RL!

Heyyo! Was just interviewed by the TalkRL Podcast!! 🎙️🔥 Risto Vuorio and I explain meta-RL. Give it a listen!

🔥 Podcast episode on Meta-RL 🔥

RL agents are notoriously slow to learn 🐢 However, meta-RL can make RL agents that learn fast!🔥 Check out this talk introducing the field of Meta-RL just given by our lab members Jacob Beck and Risto Vuorio in Berlin at AutoML 2023! 📺 Link: youtu.be/XUQ9jLOZqGc

Very excited to talk about Leveraging AlphaZero to Improve our Understanding & Creativity in Chess ♟️🤯 with Been Kim at the Stanford HAI Fall Conference! In this work, we dig into finding chess concepts that are beyond the current collective human knowledge 🧵1/3

It's that time of year again! We've just announced our game intelligence research internship - join us to learn, work with a fantastic team, and tackle hard problems. "Internship Opportunity: Research Intern – Multimodal Generative Models for Video Games" jobs.careers.microsoft.com/global/en/job/…

Interested in helping us make Gemini Pro even better? The Gemini pre-training team is looking for a Research Scientist in London to push the boundaries of LLM scaling: understanding, predicting, and improving. ♊️🚀 Apply here: boards.greenhouse.io/deepmind/jobs/…

Wanna work on Gemini? DeepMind is hiring! 🚀

Big news—our survey paper “A Tutorial on Meta-Reinforcement Learning” is officially published! Meta-RL = learning how to adapt through interaction. It embraces The Bitter Lesson: don’t hardcode agents—train them to adapt on their own arxiv.org/abs/2301.08028 🧵⬇️