Pietro Novelli
@pienovelli.bsky.social
Physicist, working on machine learning for dynamical systems | reinforcement learning | machine learning for science | transfer learning for atomistic potentials | statistical learning theory & optimization.
For the past four years, I’ve been working on a topic that’s both fascinating and challenging to explain. In this post, I’ve tried to present The Operator Way — a paradigm for understanding dynamical processes — in plain, approachable terms.
pietronvll.github.io/the-operator...
pietronvll.github.io/the-operator...
January 9, 2025 at 5:19 PM
For the past four years, I’ve been working on a topic that’s both fascinating and challenging to explain. In this post, I’ve tried to present The Operator Way — a paradigm for understanding dynamical processes — in plain, approachable terms.
pietronvll.github.io/the-operator...
pietronvll.github.io/the-operator...
In his book “The Nature of Statistical Learning” V. Vapnik wrote:
“When solving a given problem, try to avoid a more general problem as an intermediate step”
“When solving a given problem, try to avoid a more general problem as an intermediate step”
December 12, 2024 at 5:19 PM
In his book “The Nature of Statistical Learning” V. Vapnik wrote:
“When solving a given problem, try to avoid a more general problem as an intermediate step”
“When solving a given problem, try to avoid a more general problem as an intermediate step”
Come check it out!!
🌍 Operator World Models for Reinforcement Learning
✍️ @pienovelli.bsky.social, @marcopra.bsky.social, M. Pontil, C. Ciliberto
📃https://arxiv.org/abs/2406.19861 | 📅 Poster #6907 Dec 12, 16:30 - 19:30.
✍️ @pienovelli.bsky.social, @marcopra.bsky.social, M. Pontil, C. Ciliberto
📃https://arxiv.org/abs/2406.19861 | 📅 Poster #6907 Dec 12, 16:30 - 19:30.
December 10, 2024 at 2:42 AM
Come check it out!!