Weight-space programming explores how an agent can inspect, construct, or modify neural network parameters to implement a specified behavior. This collection connects direct LLM-driven experiments to ...

⭐ Find this useful? Star the repo to bookmark the collection and help others discover it. An agent assigns small transformer weights and may change the architecture, then iterates using evaluation ...

A new simulation study presents a graph attention-based multi-agent reinforcement learning framework that jointly optimizes drone swarm trajectories, transmission power, and packet routing, reporting ...

Machine learning is often used to predict future values from data. But what if, instead of just predictions, you could ...

Most programming languages were written for human programmers, but that's about to change. University of Michigan professor Jason Mars has developed an academically ambitious language called Jac, and ...