Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

How Google’s 'internal RL' could unlock long-horizon AI agents

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

First-time use of AI for genetic circuit design demonstrated in a human cell line

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...
GitHub

An implementation of Neuroevolution of Augmented Topologies(NEAT) Algorithm compatible with EvoJAX. Made to play Neural Slime Volleyball

Neuroevolution of Augmented Topologies(NEAT) is a biologically inspired method for evolving neural architectures. Instead of using backprop to update the weights of the network, NEAT uses Genetic ...