Amanda Prorok

CS Faculty @Cambridge_Uni

[Amanda Prorok @aprorok]

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:
https://t.co/CFLpKf4Spb

[Amanda Prorok @aprorok]

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!

[Edward Johns @Ed__Johns]

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: https://t.co/eyZW63SYl5. Enjoy!

[Amanda Prorok @aprorok]

We are super excited to soon be able to welcome you in Cambridge!!

[Rika Antonova @contactrika]

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)
https://t.co/RvT9CNjfSJ

[Amanda Prorok @aprorok]

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:
https://t.co/ANYIFYASln
@Cambridge_CL

[Andrew Davison @AjdDavison]

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.

[Amanda Prorok @aprorok]

We have a Postdoc opening! Do you have deep learning skills and hands-on robot experience? Apply here to join our lab:
https://t.co/ANYIFYAkvP

[Amanda Prorok @aprorok]

Join us next Monday at #ICRA2023 for our workshop on Multi-Robot Learning! We have a really neat line-up of speakers, spotlight presenters, and panelists!
https://t.co/9q0PE4IzSa

@cjdamato @angelaschoellig @ieee_ras_mrs @ieee_ras_icra

[Amanda Prorok @aprorok]

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:
https://t.co/pVsm06mCgE

#HeterogeneousMARL #Robotics #GraphNeuralNetworks

[Amanda Prorok @aprorok]

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 👇
https://t.co/UPd2ISzIr7
https://t.co/s8bsIZNndO

[Amanda Prorok @aprorok]

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.
https://t.co/RIRVqmeh93

@cjdamato @angelaschoellig

[DeepAI @DeepAI]

Check out this awesome research paper by Matteo Bettini, @aprorok and others about Heterogeneous Multi-Robot Reinforcement Learning! 🤖🤖🤖 Read it now: https://t.co/jCVjDn9MYb #NeuralNetwork #ReinforcementLearning #Robotics #AI

[Amanda Prorok @aprorok]

@guillem_girona @AIforGood @manihsieh @DocRachidAlami @ITU @ITUstandards @UDengineering @Cambridge_CL @PSUEngineering @UMNews @LaasCNRS @UMNComputerSci Delighted to be a part of this!

[Amazon Science @AmazonScience]

At @Cambridge_CL's Prorok Lab, @aprorok and her team are working on finding practical methods to solve problems that require robots to coordinate with each other. #robotics #collectiveintelligence https://t.co/YwJZhvgCiC

[Amanda Prorok @aprorok]

We are hiring postdocs! A couple of keywords for the job: multi-agent systems, robots, GNNs, machine learning... If you're interested, apply here: https://t.co/Xc0YAaE2Mt

[Amanda Prorok @aprorok]

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:
https://t.co/qZBEc7bOeW

[arXiv Daily @Arxiv_Daily]

Environment Optimization for Multi-Agent Navigation
https://t.co/AL2EbhQZYj
by Zhan Gao and @aprorok
#ReinforcementLearning #ComputerScience

[Amanda Prorok @aprorok]

Thanks for the opportunity to speak at your summer school in Milan! What a vibrant crowd.

[M2L school @M2lSchool]

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!

[Amanda Prorok @aprorok]

We are hiring! If you are passionate about all things flying, and have a knack for machine learning, then apply here:
https://t.co/pssKGPoNJW

[Amanda Prorok @aprorok]

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:
https://t.co/lCHbVD8uEO

[Amanda Prorok @aprorok]

At #ICLR2022 we're presenting a new hybrid approach towards the TSP, that converges to optimal solutions, faster. Check it out: https://t.co/XLHcNbeJmF

[Cambridge University @Cambridge_Uni]

🧩 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
https://t.co/SHK7SMTqug

[Amanda Prorok @aprorok]

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!
https://t.co/JGmLFlQjqs