Building agents and robots. Prev @autodesk ai lab, PhD @imperialcollege, MS @imperialcollege @MIT. AI/ML/Robotics.
Joined February 2021
- Tweets 74
- Following 250
- Followers 965
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22 Photos and videos
Apr 28
Super happy to share that our work on robot adaptation is now out in @NatureComms!
Imagine a robot being paralysed in some areas from unknown failures like a faulty or damaged wheel or motor, operating and driving such a vehicle is near impossible.
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🤖Thrilled to share that robotics work from my PhD is out in @NatureComms 🎉
"Getting robots back on track by reconstituting control in unexpected situations with online learning"
With @MFlageat , @bryanlimwt , @CULLYAntoine @imperialcollege
🧵below
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Apr 28
Turning right becomes moving straight, going straight means turning left. This work is our attempt at addressing this through rapid online learning. Regaining control of the robot again and operating and driving it as if nothing was wrong felt magical!
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Apr 28
Massive effort from amazing collaborators @allardmaxime079 @MFlageat and @CULLYAntoine. Super thankful for the opportunity and privilege to play a part in this work!
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27 Jul 2024
Had a great time at @ALifeConf this week presenting In-context Quality-Diversity! Feel free to reach out if any of this is interesting #ALIFE2024
25 Jul 2024
Bryan Lim discusses LLMs as an in-context quality-diversity generator
#ALIFE2024 @ALifeConf
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27 Jul 2024
More information in this 🧵 too!
x.com/bryanlimwt/status/1817…
27 Jul 2024
💡⚙️ Ideas and inventions are rarely generated and created in isolation 🏝️
We explore using few/many-shot prompting of language models with quality-diverse examples provided from QD algorithms for solution generation for QD problems!
Work done with @MFlageat @CULLYAntoine
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27 Jul 2024
💡⚙️ Ideas and inventions are rarely generated and created in isolation 🏝️
We explore using few/many-shot prompting of language models with quality-diverse examples provided from QD algorithms for solution generation for QD problems!
Work done with @MFlageat @CULLYAntoine
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27 Jul 2024
Compared to other QD algorithms which use a few solutions from the archive for the next offspring (i.e. parents for a mutation/crossover or the init of an ES mean dist.), In-context QD makes greater use of the quality-diverse solutions in the archive for solution generation
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14 Jul 2024
Excited to be presenting this year’s edition of Evolutionary Reinforcement Learning (EvoRL) @GeccoConf 🦎🦾 with @MFlageat @CULLYAntoine, which will be a tutorial instead of a workshop!
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14 Jul 2024
We believe there are still many things that all the different ideas and sub-fields of evolution can bring to RL and vice-verca, so the goal of this tutorial is to really encourage that 🚀🚀🚀
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14 Jul 2024
It’ll be right after the Euro finals ⚽ so come on over after all the excitement/joy/disappointment. See you there! Room 112 if you’re in-person in Melbourne!
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9 May 2024
I am also especially thankful to @HartEmma and @AjdDavison, who examined my thesis and viva. It was a great privilege and honour to discuss important perspectives, approaches and challenges towards progress in robotics and AI systems in the real-world.
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9 May 2024
Fun fact: I met @CULLYAntoine by stumbling into a reading group (organised by @kaixhin) where he was coincidentally giving a talk on that day. I cold emailed him after and fortunately, he was just starting out his lab and had time to teach a mech eng undergrad how to use linux.
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10 May 2024
Back home in Malaysia so instead of post-viva drinks, celebrated with some Nasi Kandar (curry rice)!
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9 May 2024
Very happy to share that I passed my PhD viva yesterday! Extremely grateful to @CULLYAntoine who has been a great advisor and mentor throughout this journey. Thank you for giving me this opportunity of a lifetime!
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23 Apr 2024
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23 Apr 2024
The 3 key elements of a good dataset:
1. quality
2. diversity
3. quantity
You can only easily measure the last one but the performance is a sensitive function of all three.
Super interesting topic ty for #longread :)!
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