Ruan de Kock
@ruanjohn
Research Engineer @instadeepai focusing on Multi-agent RL 🤖
The 2025 @DeepIndabaX_ZA saw students and researchers who are passionate about ML innovations coming together in South Africa, with our team taking part in the action across talks, lessons and a hackathon challenge that put participants ML skills to the ultimate test. 🧑🔬
This is truly the last chance for students to apply for free attendance at this year's edition. Don't let this final opportunity slip away! Apply here: indabax.co.za/register/ #Indaba𝕏SA
You asked, we listened! Indaba𝕏🇿🇦'25 Student Application Deadline Extended! Thank you for your interest & feedback! We've received requests to extend the application window, we're happy to announce that applications have been extended to Sunday, May 25th.indabax.co.za/register/
A short list of tips for keeping a clean, organized ML codebase for new researchers: eugenevinitsky.com/posts/quick-so…
Deep Learning IndabaX SA was well represented at the Deep Learning Indaba in Dakar, Senegal! 🇿🇦🇸🇳 A huge thank you to the organisers who made this experience unforgettable. We're heading home with renewed passion, ready to push the boundaries of AI in SA and beyond. #DLI2024
🎓Huge congratulations to Omer Kamal Ali Ebead and Ayman Saeed, top achievers in AIMS South Africa’s 2024-2025 AI for Science Master’s stream! Africa’s future in AI is in great hands. #AIMSSouthAfrica #AIforScience #AcademicExcellence #STEMinAfrica
🚨 New reinforcement learning algorithms 🚨 Excited to announce MaxInfoRL, a class of model-free RL algorithms that solves complex continuous control tasks (including vision-based!) by steering exploration towards informative transitions. Details in the thread 👇
Want to learn how to beat SOTA on 35 out of 47 offline MARL tasks? Join us at #NeurIPS2024 to discover our latest Offline MARL breakthroughs. 📍 Visit poster #97812 tomorrow at 4:30 p.m. PST to learn more!
If you are interested in scalable search based 🔎 policy improvement operators come chat with me at our poster on SPO tommorow!
Excited to share our latest work on Sequential Monte Carlo Policy Optimisation (SPO)🔥— a scalable, search-based RL algorithm leveraging SMC as a policy improvement operator for both continuous and discrete environments! 📍 Catch us tomorrow at #NeurIPS2024 (poster #94776) from…
Excited to share our latest work on Sequential Monte Carlo Policy Optimisation (SPO)🔥— a scalable, search-based RL algorithm leveraging SMC as a policy improvement operator for both continuous and discrete environments! 📍 Catch us tomorrow at #NeurIPS2024 (poster #94776) from…
Excited to share that our MARL textbook is officially launching next week with @mitpress! After plenty of writing (and rewriting), @LukasSchaefer96, @s_albrecht, and I are excited to finally see it in print. Check out the thread below to learn more! 🧵👇 #RL #AI #MARL
📚🧵1/7 It is finally here!! Only one more week until the print release of our textbook “Multi-Agent Reinforcement Learning: Foundations and Modern Approaches” with @mitpress! What you get, why you should be interested and more, all below in a short 🧵👇
I am happy to announce that the first draft of my RL tutorial is now available. arxiv.org/abs/2412.05265
📢 Our team is heading to @NeurIPSConf this week! We are thrilled to contribute with 8 papers featuring works in Digital Biology 🧬and Reinforcement Learning🎉. Catch us during poster and workshop sessions to see our latest research publications and meet the mind behind them 🚀…