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Jake Tuero

@tuero.ca
24 followers 277 following 9 posts

PhD @ University of Alberta I research policy tree search algorithms (search + RL) C++ | Math | Caffiene | OSRS | Hockey | 🇨🇦 github.com/tuero

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Reposted by Jake Tuero
Jake Tuero @tuero.ca · 15/07/2026
After many years and countless sleepless nights, I’ve successfully defended my #PhD thesis on Learning-Based Search Control for Policy Tree Search, which is also being nominated for best thesis award! I’m grateful to my supervisors and the committee for their invaluable feedback. Time for some 😴
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Jake Tuero @tuero.ca · 15/07/2026
After many years and countless sleepless nights, I’ve successfully defended my #PhD thesis on Learning-Based Search Control for Policy Tree Search, which is also being nominated for best thesis award! I’m grateful to my supervisors and the committee for their invaluable feedback. Time for some 😴
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Jake Tuero @tuero.ca · 15/07/2025
🛬 Vancouver for #icml, I’ll be presenting our work on Subgoal Guided Heuristic Search with Learned Subgoals on Tuesday from 4:30-7:00pm. Come stop by and say hello 👋
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Reposted by Jake Tuero
Levi Lelis @programsynthesis.bsky.social · 13/06/2025
🧵1/ New paper! 📄 Subgoal-Guided Policy Heuristic Search with Learned Subgoals, led by my PhD student @tuero.ca. arxiv.org/pdf/2506.07255 This paper follows the Levin tree search (LTS) research line and focuses on learning subgoal-based policies.
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Jake Tuero @tuero.ca · 10/06/2025
Excited to share our paper "Subgoal-Guided Policy Heuristic Search with Learned Subgoals" has been accepted to #icml2025! Paper Preview: arxiv.org/pdf/2506.07255 I'll be attending ICML-25 in Vancouver, and I'm looking forward to chatting with anyone who is interested in our work!
arxiv.org
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Jake Tuero @tuero.ca · 29/04/2025
I implemented a pytorch-like cuda accelerated autograd library in C++ to learn cuda and the performance pain points when using these frameworks. Check it out! github.com/tuero/tinyte... #cpp #cplusplus #cuda #MLSky #DeepLearning
github.com
GitHub - tuero/tinytensor: A C++ multi-dimensional tensor library with automatic gradient tracking and CUDA acceleration.
A C++ multi-dimensional tensor library with automatic gradient tracking and CUDA acceleration. - tuero/tinytensor
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Jake Tuero @tuero.ca · 24/11/2024
Sometimes it’s beneficial to try and reformulate a problem into another so that you can lean on the solutions the other provides. A Conv2D can be rewritten as a series of matrix multiplications, and I’ve gained a 2x speed up by reusing my fast matmul kernels for my Conv2D implementation!
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Jake Tuero @tuero.ca · 22/11/2024
So much for sleep, I’m glued here finding everyone to follow!
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