CS Faculty @Cambridge_Uni

Joined November 2011
21 Photos and videos
Pinned Tweet
23 Jan 2023
Our new paper crystallizes the role of heterogeneity in multi-agent reinforcement learning. We provide a new algorithm, and show that multi-robot systems with heterogeneous controllers boast higher resilience to observation noise: arxiv.org/abs/2301.07137
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30 Jan 2024
It was such a pleasure to visit Imperial again, thanks to @Ed__Johns for being a fabulous host, and thanks to the Imperial students for the vibrant Q&A after the session!
It was my pleasure to host Amanda Prorok (@aprorok) last week, to hear her talk about how graph neural networks can learn intriguing, collaborative behaviours for multi-robot systems! You can watch a recording of her talk here: robot-learning.uk/seminar-se…. Enjoy!
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20 Nov 2023
We are super excited to soon be able to welcome you in Cambridge!!
After a fruitful search for a faculty position in Machine Learning Robotics, happy to share that I am joining the University of Cambridge. Interested in working together? Reach out to connect! (PhD applications due Dec 5th, MPhil - later in Spring) youtube.com/watch?v=LlCwHnp3…
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24 Oct 2023
Still a few days left to apply! If you're into robot learning, and like stuff that flies, check out our postdoc opportunity here at Cambridge: jobs.cam.ac.uk/job/43030/ @Cambridge_CL

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Amanda Prorok retweeted
That is a good point and I was thinking something similar. Vision/Robotics/AI research is very much stuck in a groupthink bubble right now.
Currently, we overfit to exploring AI techniques that work well on NVIDIA GPUs. With the AI Accelerator sanctions on China -- one interesting result might be that China forks silicon and explores a different idea-space in AI techniques than the rest of the world.
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12 Oct 2023
We have a Postdoc opening! Do you have deep learning skills and hands-on robot experience? Apply here to join our lab: jobs.cam.ac.uk/job/43030/

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We're thinking about the benefits of diversity in multi-robot systems... Here's a cool movie that describes what heterogeneity can do for cooperative tasks: youtu.be/J81IVQEy-zw #HeterogeneousMARL #Robotics #GraphNeuralNetworks

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This week at #ICLR2023, we are presenting POPGym, a comprehensive collection of partially observable RL problems and baseline models. Using POPGym, we execute a comparison across RL memory models 👇 arxiv.org/abs/2303.01859 github.com/proroklab/popgym

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Check out our upcoming workshop on Multi-Robot Learning at #ICRA23! We have a super exciting line-up of speakers. Send us your submissions to feature in our spotlight and poster sessions! Deadline approaching: April 15. sites.google.com/cam.ac.uk/m… @cjdamato @angelaschoellig
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Amanda Prorok retweeted
20 Jan 2023
Check out this awesome research paper by Matteo Bettini, @aprorok and others about Heterogeneous Multi-Robot Reinforcement Learning! 🤖🤖🤖 Read it now: deepai.org/publication/heter… #NeuralNetwork #ReinforcementLearning #Robotics #AI
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24 Oct 2022
We are hiring postdocs! A couple of keywords for the job: multi-agent systems, robots, GNNs, machine learning... If you're interested, apply here: jobs.cam.ac.uk/job/37669/

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Too often, we focus on fixing the robot instead of the environment that it operates in. In this new paper, we do the latter, and show that subtle modifications to the robots’ surroundings make a real difference: arxiv.org/abs/2209.11279
Environment Optimization for Multi-Agent Navigation deepai.org/publication/envir… by Zhan Gao and @aprorok #ReinforcementLearning #ComputerScience
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17 Sep 2022
Thanks for the opportunity to speak at your summer school in Milan! What a vibrant crowd.
16 Sep 2022
Thanks to the wonderful speakers of these last two days: @yayitsamyzhang Doina Precup @luisa_zintgraf @ja_kirkpatrick @aprorok @xbresson Chris Bishop, Ivan Nardini! What an amazing way to conclude the #M2Lschool 2022!
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25 Jul 2022
We are hiring! If you are passionate about all things flying, and have a knack for machine learning, then apply here: jobs.cam.ac.uk/job/36052/

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Credit assignment among agents is really hard when you only get a global reward. In a new learning paradigm, agents use a #GNN to communicate key information that allocates appropriate credit, and promotes cooperative behavior: arxiv.org/abs/2205.13005
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26 Apr 2022
At #ICLR2022 we're presenting a new hybrid approach towards the TSP, that converges to optimal solutions, faster. Check it out: arxiv.org/abs/2110.05291
🧩 The 'Travelling Salesperson Problem' is one of the oldest puzzles in computer science. A new approach to solving it, developed at @Cambridge_CL, could improve efficiency in the transport and logistics sectors. @AProrok #ICLR2022 bit.ly/3Mq5ijU
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17 Mar 2022
Delighted to be one of Cambridge's 12 Pilkington Prize winners this year, recognizing outstanding teaching. Thanks to @Cambridge_CL for supporting my vision, and to a fabulous team of TAs for keeping the wheels turning! cst.cam.ac.uk/news/innovativ…

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28 Feb 2022
Looking forward to this!
#RobotoKAUST 2022 is approaching! Join us for the Robotics Technologies session on Monday, February 28, 14.30 - 18.45. Check the agenda and register cemse.kaust.edu.sa/robotokau… @aprorok @scoogan3 @bryanklow @gilleslubineau @tsiotrasP #cemseKAUST #Robotics
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