Edinburgh Robotics
@EDINrobotics
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The Edinburgh Centre for Robotics aims to play its part in helping the UK realise its industrial potential in the robotics & autonomous systems revolution.
Edinburgh, Scotland
Joined November 2013
Looking forward to attending the European Graduate Network Symposium 2024 at the Honda Research Institute in Germany next week! Honda is an important partner for our research group and we're working together on exciting new projects. One of these is a new JAX-accelerated
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Looking forward to teaching at the Multi-Agent Reinforcement Learning (MARL) summer school hosted by @IIIACSIC in Barcelona from 16-19th September. Registration opens tomorrow and in-person spots are limited! Why should you join? MARL is at the cutting edge of machine
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🎉 2x RLC papers and 1x RLC workshop paper! Delighted to share that we have had 3 papers accepted to the first Reinforcement Learning Conference @RL_Conference. 1. Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras We propose a self-supervised auxiliary
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🎉 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! https://t.co/6of6iTbgRB See our new blog post for
github.com
An extension of the PyMARL codebase that includes additional algorithms and environment support - uoe-agents/epymarl
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Excited to head to Prague next week for the @ieeeras Summer School on Multi-Robot Systems (July 29 - Aug 2)! 🌍🚀 I'll give a lecture on Multi-Agent Reinforcement Learning (MARL), based on our new @mitpress textbook https://t.co/pHWfMZqYx7 Details:
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Postdoc application closing soon!
Postdoc position in multi-modal RL and LLMs at School of Informatics, University of Edinburgh. International applicants are welcome. Deadline 23 July 2024. Details here: https://t.co/ItxpRUSx4G
@InfAtEd @EDINrobotics
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New PhD position in Multi-agent RL funded by @Leonardo_live. Start between Sep'24 to Jan'25, funded for 3.5 years, working with our group and Leonardo. Candidate must *not require ATAS https://t.co/aYU7Of61hS. To apply/questions: email CV, transcripts, and research ideas to me.
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Postdoc position in multi-modal RL and LLMs at School of Informatics, University of Edinburgh. International applicants are welcome. Deadline 23 July 2024. Details here: https://t.co/ItxpRUSx4G
@InfAtEd @EDINrobotics
elxw.fa.em3.oraclecloud.com
The School of Informatics, University of Edinburgh invites applications for a Research Associate in Deep Learning, Machine Learning Methods and Reinforcement Learning, to work with Prof Amos Storkey,...
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[1/6] After fantastic visits recently to London and Edmonton, Canada, I am excited to announce my next stop is China! 🌏 From June 10-21 I will present to universities, businesses, and UK embassy in Beijing, Shanghai, Shenzhen, and Hong Kong. See thread for schedule + details⬇️
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Excited to be giving a main stage talk at the #UpperBound2024 AI conference by Amii @AmiiThinks next week in Edmonton, Canada! My talk will explore current research in deep RL and LLM agents. Talk details here: https://t.co/Qq81Wvir6I Happy to meet people, please DM/email me.
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Excited to announce that China Machine Press will publish the Chinese translation of our new MARL textbook in Dec 2025 📚 Looking forward to more audiences being able to reach the fascinating world of Multi-Agent Reinforcement Learning 🎉 @mitpress
marl-book.com
Textbook published by MIT Press (2024)
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UPDATE: The copyedited version (formatting edits, index list) of the MARL book is now online! https://t.co/T78zDGSHNI Next is the book cover design and then the book will go to print and stores in late 2024! Lecture slides will be released in coming weeks. @mitpress
marl-book.com
Textbook published by MIT Press (2024)
It's done: finished textbook *Multi-Agent Reinforcement Learning* with @f_christianos @LukasSchaefer96. Nearly 100 pages bigger than the first release in May at @AAMASconf & @ieee_ras_icra. Now going into print with @mitpress, out in late 2024. (1/2) https://t.co/T78zDGS9Ya
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Our 2018 survey in AIJ on Agent Modelling with @PeterStone_TX has reached 500 citations! 🎆 Five years after publication, many of the open problems listed in Sec5 are still wide open, esp "Autonomous Model Contemplation and Revision". Lots of PhD topics! https://t.co/Wghl6q1q9T
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For people interested in explainable/trustworthy AI, with focus on #AutonomousDriving, we have released a new survey! Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review https://t.co/c0ZHBTXRJ1
@itssieee @XAI_Research
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1/7 Great start in 2024! New papers from our group: TMLR @TmlrOrg, 2x AAMAS24 @AAMASconf, AAAI24 @RealAAAI, ICLR24 @iclr_conf, ICRA24 @ieee_ras_icra. PLUS new Workshop on Ad Hoc Teamwork at AAAI24 @RealAAAI
https://t.co/NEMmdL2SLA. Titles and links in this thread.
sites.google.com
Research on ad hoc teamwork has been around for at least 20 years, but it was first introduced as a formal challenge by Stone et al. in 2010. The challenge discussed in that paper is: To create an...
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Wikipedia says the model I developed in my PhD, Stochastic Bayesian Game (SBG), has been applied in a range of problems. This is very cool🙂 https://t.co/ZPwmVBUn8u
en.wikipedia.org
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New postdoc position in our group at @InfAtEd on RL and imitation learning for robot navigation in simulated environments using MIDGARD ( https://t.co/Ll3arfXV4h). Full position details: https://t.co/bRwG9jmMcy Application deadline: December 27th 2023
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This week going to Boston to visit colleagues and give talks about our research and new MARL textbook ( https://t.co/rX3f79nJbX) at Northeastern, Harvard, MIT, UK consulate. Then next week to New Orleans for @NeurIPSConf! All welcome at talks, pls get in touch if you want to meet.
marl-book.com
Textbook published by MIT Press (2024)
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It's done: finished textbook *Multi-Agent Reinforcement Learning* with @f_christianos @LukasSchaefer96. Nearly 100 pages bigger than the first release in May at @AAMASconf & @ieee_ras_icra. Now going into print with @mitpress, out in late 2024. (1/2) https://t.co/T78zDGS9Ya
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Our latest paper "Conditional Mutual Information for Disentangled Representations in Reinforcement Learning" ( https://t.co/psyMulPof6) was accepted as spotlight at @NeurIPSConf! @MhairiDunion wrote a blog post to introduce the ideas: https://t.co/3KZjdiC9iZ
@EDINrobotics @InfAtEd
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