Dylan R. Ashley

@oneDylanAshley

PhD student studying reinforcement learning with @SchmidhuberAI. MSc with Rich Sutton of @rlai_lab. Sometimes amateur photographer. Opinions are my own.

Lugano, Switzerland

dylanashley.io

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Dylan R. Ashley
@oneDylanAshley
May 28
Recently, the field of artificial intelligence has moved faster than anyone anticipated. A few years ago, a startup like this would have been considered fifty years ahead of its time. Now, the automation of the pursuit of knowledge itself looks like it might be on the horizon.
Louis Kirsch
@LouisKirschAI
May 28
After automating AI research with @SchmidhuberAI and building AI Scientists at DeepMind, now comes the real experiment: the institution itself. Excited to co-found @inherent_labs: the recursively self-improving lab for scientific AI. inherentlabs.ai
Dylan R. Ashley
@oneDylanAshley
Apr 25
I enjoyed being part of this #RL #robotics work with @YanningD_AI, @YuhuiWangAI, and @SchmidhuberAI. Interestingly, treating morphology-control co-design as a Stackelberg game cleanly captures the bi-level coupling that many existing methods sidestep.
Jürgen Schmidhuber
@SchmidhuberAI
Apr 24
Using only box-forwarding speed as the reward, our Stackelberg PPO automatically evolves robots with arms for pushing and legs for moving. The key idea is a novel game-theoretic view of structure–control co-design, yielding more effective optimization and dramatically better
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Dylan R. Ashley
@oneDylanAshley
Mar 6, 2025
So proud of my MSc supervisor for winning the #TuringAward (the #NobelPrize in CS). If there’s one thing that’s always set @RichardSSutton a peg above the average researcher I’ve met, it’s undoubtedly the absurd degree of his dedication to advancing human knowledge.
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Dylan R. Ashley
@oneDylanAshley
Feb 23, 2025
Definitely the longest paper I've been a part of so far. Some pretty intense theory that gives one of the first peeks into the depths of these algorithms.
Jürgen Schmidhuber
@SchmidhuberAI
Feb 23, 2025
Do you like RL and math? Our collaboration, IDSIA-KAUST-NNAISENSE, has the most detailed exploration of the convergence and stability of modern RL frameworks like Upside-Down RL, Online Decision Transformers, and Goal-Conditioned Supervised Learning arxiv.org/abs/2502.05672
Dylan R. Ashley
@oneDylanAshley
Dec 2, 2024
Can confirm that it’s pretty swish. There’s some intense people that win this.
Francesco Faccio
@FaccioAI
Dec 2, 2024
Are you a rising star in AI? 🌟 Join us as a speaker for the 4th edition of the KAUST Rising Stars in AI Symposium. In the past 2 years co-organizing this event, I've met incredible researchers now in top industrial and academic positions worldwide. More info: 📅 Event date: