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RL & Agents Reading Group @ University of Edinburgh We discuss recent papers in RL, MARL & related Sign up & join: https://teapawt.net/t.co/i14FJcTX4D

Online
Joined July 2025
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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 😊
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The RL & Agents Reading Group continues today at 3 pm UK time with the final talk in our RLC series! @Theo_Vincent_ will present "A Path Towards Autonomous Learning Agents", exploring adaptive RL and temporal-difference learning. Join us!
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We are back with the RL & Agents Reading Group tomorrow (Thursday) at 4pm UK! @mcbeukman is presenting his work on preventing PPO stagnation by scaling to 1M+ parallel environments. Interested in PPO, scaling or open-ended RL? Join us! arxiv.org/abs/2603.06009
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We are back with the RL & Agents Reading Group tomorrow (Thursday) 3pm, kicking off a three-talk RLC series! @LHinckeldey is presenting Assistax, a benchmark for multi-agent assistive robotics. Interested in MARL or ad hoc teamwork? Join us! Paper: arxiv.org/abs/2507.21638
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We are back with another RL & Agents Reading Group this Thursday! @SamuelGarcin is presenting PERSIST; a new world model architecture with a persistent 3D state. If you are interested in world models this is a talk you won't want to miss. Open to everyone. Details in reply⬇️
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RL & Agents Reading Group retweeted
We’re open-sourcing the models, weights and training code for PERSIST, our 1.7B parameter 3D world model! By modelling a dynamic 3D world state instead of relying on pixel histories, PERSIST generates experiences that remain spatially and temporally coherent over thousands of steps. Tom, @kaixin20578389 and I will present PERSIST at @icmlconf in Seoul next month. See you there! Links in thread⬇️ #WorldModels #ICML2026
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RL & Agents Reading Group retweeted
As we build more cooperative multi-agent envs, we should ask: are we really testing the properties that make Dec-POMDPs hard, partial observability and decentralised coordination, or can agents succeed via shortcuts? 🤔 Our #AAMAS2026 Oral probes this question 🔎🧵
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RL & Agents Reading Group Tomorrow 3pm GMT (UK) time 📖 @steleac will be joining us to present his ICLR paper on a new approach to discovering coordinated behaviours in multi-agent systems 🤖 Paper: arxiv.org/abs/2512.24827
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RL & Agents Reading Group retweeted
PERSIST is a world model that ditches pixel-based histories for a 3D world state. Instead of searching through an ever-growing sequence of past pixel observations, PERSIST retrieves spatial information from a dynamically evolving 3D representation. This change improves the spatial memory, 3D consistency, and long-horizon stability of the model, enabling interactive experiences within coherent and evolving 3D worlds. #MachineLearning #WorldModels #GenerativeAI #3DComputerVision #ComputerVision #Genie3 #AI
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RL & Agents Reading Group TODAY 3pm GMT (UK) time 📖 Lukas Schäfer (Microsoft Research) will be joining us to present predictive inverse dynamics models (PIDMs) as an alternative to behaviour cloning in offline imitation learning💡 Paper: arxiv.org/abs/2601.21718
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Reading group TODAY at 3pm UK time (GMT)! Ruaridh Mon-Williams will be joining us to present some interesting recent work on emergent partner modelling Paper: arxiv.org/abs/2505.17323
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RL & Agents Reading Group retweeted
Running a short human eval study on interactive world models — would really appreciate any help! You’ll score short videos based on spatial & temporal consistency. It’s lightweight (and maybe even fun 🙂). Full study ~25 min, but partial responses are totally fine. Works on mobile too! Link in thread ⬇️
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Reading group TOMORROW 3-4pm UK! Joe Marino @jl_marino (Google DeepMind) will present SIMA 2, a generalist embodied agent designed to operate across a wide range of 3D virtual worlds 🌎 Join here: edinburgh-rl.github.io/readi…
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Reading group TODAY at 2pm BST! "Despite years of research in offline reinforcement learning (RL), the field has failed to deliver major breakthroughs..." @JacksonMattT and @JarekLiesen (Oxford) will present Unifloral - unified implementations and evaluations for offline RL.
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Next reading group session today at 15:00 GMT! @trevormcinroe (University of Edinburgh) will be presenting Terra Nova, a new comprehensive challenge environment for RL research inspired by Civilization V.
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Reading group today at 12:00 BST! We are continuing our NeurIPS series. Felix Chalumeau (@ChalumeauFelix) from InstaDeep will present his oral paper on how inference strategies can boost performance in MARL. 🚀 Papers: arxiv.org/abs/2505.21236 Meeting: bit.ly/488sD6n
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* 12:00 GMT+0, still in summer mode :D
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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: bit.ly/3Lme7jH bit.ly/47GJb4T Meeting: bit.ly/3JoEbtU
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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: rlj.cs.umass.edu/2025/papers… Meeting link: teams.microsoft.com/l/meetup…
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