Abstract: Evolutionary reinforcement learning (ERL), which integrates the evolutionary algorithms (EAs) and reinforcement learning (RL) for optimization, has demonstrated remarkable performance ...

Overview: Free YouTube channels provide structured playlists covering AI, ML, and analytics fundamentals.Practical coding demonstrations help build real-world d ...

This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...

OpenELM is an open-source library by CarperAI, designed to enable evolutionary search with language models in both code and natural language. The OpenELM project has the following goals: Release an ...

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in modern drug discovery when dealing with intrinsically disordered proteins.

Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...