Hello world! This is the RL & Agents Reading Group We organise regular meetings to discuss recent papers in Reinforcement Learning (RL), Multi-Agent RL and related areas (open-ended learning, LLM agents, robotics, etc). Meetings take place online and are open to everyone 😊

Reading group today at 2pm BST! We are starting our NeurIPS series with Sable and Oryx, sequence models for scalable multi-agent coordination from the RL Research Team at @instadeepai . 🚀 Papers: https://t.co/D7h9Ng6Q4u https://t.co/eroPLuxWKs Meeting: https://t.co/jZSZLa8mvP

RL reading group in less than 2 hours at 15:00 BST 🔥🕺 Speaker: Sebastian Griesbach Title: Learning to Explore in Diverse Reward Settings via Temporal-Difference-Error Maximization 🗺️ (RLJ) Paper: https://t.co/ozTL9X8p7j Meeting link:

📢 RL reading group TODAY @ 15:00 BST (in 2 hrs!) 📢 Speakers: Olya Mastikhina and Dhruv Sreenivas (University of Montreal & Mila - Quebec AI Institute) Title: Optimistic critics can empower small actors🦸 Details:

📢 RL reading group tomorrow @ 16:00 BST 📢 Speaker: Alex Lewandowski Title: The World Is Bigger: A Computationally-Embedded Perspective on the Big World Hypothesis 🌍 Details:

RL reading group TODAY @ 15:00 BST 🔥 Speaker: Cam Allen @camall3n (Postdoc, UC Berkeley) Title: The Agent Must Choose the Problem Model Details:

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We are super excited to kick things off again with Mattie Fellows (Postdoc @ FLAIR in Oxford) today 15:00 BST! Paper: Simplifying Deep Temporal Difference Learning Check out our website for full info https://t.co/l6AYWEcvq8🔥

We regularly host guest speakers, so please get in touch if you're interested in presenting your work 🤟❤️‍🔥

📝 Sign up: https://t.co/gq2qMvYidc 🗳️ Propose papers: https://t.co/rvCGLpOelx 📺 Past recordings: