@hiddenmpid.bsky.social
Just discovered this awesome package from the same team responsible for PyTorch Geometric! If you're working with DL for tabular data, I strongly recommend you check it out.
github.com/pyg-team/pyt...
github.com/pyg-team/pyt...
GitHub - pyg-team/pytorch-frame: Tabular Deep Learning Library for PyTorch
Tabular Deep Learning Library for PyTorch. Contribute to pyg-team/pytorch-frame development by creating an account on GitHub.
github.com
December 19, 2024 at 4:58 PM
Just discovered this awesome package from the same team responsible for PyTorch Geometric! If you're working with DL for tabular data, I strongly recommend you check it out.
github.com/pyg-team/pyt...
github.com/pyg-team/pyt...
Reposted
📚📢Christmas came early 🎅
Our new textbook on multi-agent reinforcement learning with @mitpress.bsky.social is out NOW!
The book is available from MIT Press (mitpress.mit.edu/978026204937...) or your bookstore nearby.
Why you should be interested, what you get, and more all in a 🧵👇
Our new textbook on multi-agent reinforcement learning with @mitpress.bsky.social is out NOW!
The book is available from MIT Press (mitpress.mit.edu/978026204937...) or your bookstore nearby.
Why you should be interested, what you get, and more all in a 🧵👇
📚🧵1/7 It is finally here!! Only one more week until the print release of our textbook “Multi-Agent Reinforcement Learning: Foundations and Modern Approaches” with @mitpress.bsky.social!
What you get, why you should be interested and more, all below in a short 🧵👇
What you get, why you should be interested and more, all below in a short 🧵👇
December 17, 2024 at 2:32 PM
📚📢Christmas came early 🎅
Our new textbook on multi-agent reinforcement learning with @mitpress.bsky.social is out NOW!
The book is available from MIT Press (mitpress.mit.edu/978026204937...) or your bookstore nearby.
Why you should be interested, what you get, and more all in a 🧵👇
Our new textbook on multi-agent reinforcement learning with @mitpress.bsky.social is out NOW!
The book is available from MIT Press (mitpress.mit.edu/978026204937...) or your bookstore nearby.
Why you should be interested, what you get, and more all in a 🧵👇
Reposted
An updated intro to reinforcement learning by Kevin Murphy: arxiv.org/abs/2412.05265! Like their books, it covers a lot and is quite up to date with modern approaches. It also is pretty unique in coverage, I don't think a lot of this is synthesized anywhere else yet
Reinforcement Learning: An Overview
This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based RL, policy-gradient methods, model-based met...
arxiv.org
December 9, 2024 at 2:27 PM
An updated intro to reinforcement learning by Kevin Murphy: arxiv.org/abs/2412.05265! Like their books, it covers a lot and is quite up to date with modern approaches. It also is pretty unique in coverage, I don't think a lot of this is synthesized anywhere else yet