Jake Tuero
banner
tuero.ca
Jake Tuero
@tuero.ca
PhD Candidate @ University of Alberta
Reinforcement Learning and Policy Tree Search
C++ | Math | Caffiene | Video Games | Hockey | 🇨🇦

github.com/tuero
🛬 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 👋
July 15, 2025 at 2:00 AM
Reposted by Jake Tuero
🧵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.
June 13, 2025 at 3:29 AM
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
June 10, 2025 at 4:34 PM
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 - 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
github.com
April 29, 2025 at 5:02 AM
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!
November 24, 2024 at 9:11 AM
So much for sleep, I’m glued here finding everyone to follow!
November 22, 2024 at 9:09 AM