Abstract: In this article, we introduce a novel framework that combines constraint logic programming (CLP) with deep reinforcement learning (DRL) to create adaptive environments for continual learning ...
This repository contains a maintained and modernized version of the Espresso logic minimizer, originally developed at the University of California, Berkeley. Espresso is a heuristic multi-valued PLA ...
Mochi is a small, statically typed programming language built for clarity, safety, and expressiveness — whether you're writing tools, processing real-time data, or powering intelligent agents. To run ...