I'm extremely honoured to have been nominated for the IJCAIconf 2022 Computers and Thought Award, recognising our contributions in decision making, learning, and inference in complex multi-agent systems. Very grateful to nominator and all referees.

New blog post about common implementation tips and tricks in deep RL #ReinforcementLearning NeurIPS Conference ICML Conference @aamas2023 ICLR 2026 IJCAIconf agents.inf.ed.ac.uk/blog/reinforce…

New blog post - The Extended PyMARL Codebase for Multi-Agent Reinforcement Learning. Explains how to install EPyMARL, run experiments, and prototype new MARL algorithms. Based on our NeurIPS Conference 2021 benchmark paper: arxiv.org/abs/2006.07869 Blog: agents.inf.ed.ac.uk/blog/epymarl/

New *Special Issue on Multi-Agent Systems Research in the United Kingdom* now published in AI Communications. Contains 14 contributed articles from UK labs. AI Communications The Alan Turing Institute Michael Wooldridge ➡️Editorial: content.iospress.com/articles/ai-co… ➡️Special issue: content.iospress.com/journals/ai-co…

New blog post on "Revisiting the Gumbel-Softmax in MADDPG" by Callum Rhys Tilbury. Very nice work showing that swapping the Gumbel-Softmax with other discrete gradient estimators can lead to significant improvements. agents.inf.ed.ac.uk/blog/revisitin…

Excited to announce that we will publish a new textbook with The MIT Press @mitpress.bsky.social on Multi-Agent Reinforcement Learning in summer of 2023! With Lukas Schäfer Lukas Schäfer @EurIPS and Filippos Christianos Filippos Christianos. The book will also be available online for free. (1/4)

(1/2) Update: our MARL book is on track for printing with The MIT Press @mitpress.bsky.social in 2024! We will release the pre-print book PDF in Q3 this year. 📔 As a teaser, here is the current book ToC (may change in final version) + GPT version below. More details in original announcement below.

Postdoc position in RL and MARL in our group (agents.inf.ed.ac.uk). Start 1 Sep 2023, initially for 12 months. Salary £39,592. If interested, please send to me by email: CV, 1-page cover letter, 2-3 referees.

OUT NOW: pre-print non-final PDF of our book "Multi-Agent Reinforcement Learning: Foundations and Modern Approaches" released on official page marl-book.com. The authors (I, Filippos Christianos, Lukas Schäfer @EurIPS) will be at @aamas2023 & IEEE ICRA in London. The MIT Press @mitpress.bsky.social

PhD opening in Multi-Agent RL in our group for start Sep 2023, in collaboration with Honda. For UK "home fee" candidates only (see ed.ac.uk/tuition-fees/f…). Please send CV + motivation (describing research interest and relevant background) to me via email by 23 June.

As you know, we are organising a #Neurips2023 competition on robotics, where we are putting all those #MachineLearning claims to the test! The real-test people! I wrote a blog on the competition and the results so far we have on the leaderboard! Check it out:

Our paper "Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning" with Filippos Christianos Giorgos Papoudakis now accepted in Transactions on Machine Learning Research! Pareto-AC learns Pareto-optimal Equilibria in many MARL environments and reaches new sota results. arxiv.org/abs/2209.14344

It's done: finished textbook *Multi-Agent Reinforcement Learning* with Filippos Christianos Lukas Schäfer @EurIPS. Nearly 100 pages bigger than the first release in May at The AAMAS Conference & IEEE ICRA. Now going into print with The MIT Press @mitpress.bsky.social, out in late 2024. (1/2) marl-book.com

New journal paper at Journal of Machine Learning Research: "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning" with Muhammad Arrasy Rahman Ignacio Carlucho. GPL tackles ad hoc teamwork in open multi-agent systems with partial observation, using DRL and GNN. 👉jmlr.org/papers/v24/22-…

New postdoc position in our group at School of Informatics, The University of Edinburgh on RL and imitation learning for robot navigation in simulated environments using MIDGARD (midgardsim.org). Full position details: agents.inf.ed.ac.uk/Postdoc_RL-IL_… Application deadline: December 27th 2023

I am excited to present you with a Christmas gift :P 😆😆 Our new fine-tunable generalist agent is what we call the Pangu-Agent! Our agent is fantastic - ok! It supports the following: 1. Structured reasoning via a new notion of intrinsic functions that allows you to

Our Multi-Agent RL framework EPyMARL, which extends the original PyMARL framework of WhiRL, is widely used in MARL research (nearly 400 stars on Github!) and several MARL benchmarks have been built on it. We list three in this thread! Blog: agents.inf.ed.ac.uk/blog/epymarl/ (1/4)

🎉 We have an exciting update to our open-source MARL libraries for you! Our popular EPyMARL library (439⭐) with highly customisable implementations for many MARL algorithms has now become even better - welcome to EPyMARL v2.0! github.com/uoe-agents/epy… See our new blog post for

Excited to share that our paper "Lightweight Neural App Control (LiMAC)" is accepted to #ICLR2025! 🎉 LiMAC enables app control on mobile devices using small architectures (<2B params), offering a lightweight alternative to large frameworks like OpenAI's Operator. 🧵👇 (1/3)