A machine learning framework, dataset and research sub-module about coevolutionary planetary intelligence dynamics. This project explores how nurturing its emergent patterns may lead to a synergistic increase in the overall capability and intelligence of both individual agents and the collective system.

Cooperative Co-evolutionary Differential Evolution (DECC) algorithms in Python.

Implementation of Coevolutionary Strategies for Multi-Agent Reinforcement Learning tasks

A Comparison between NEAT and Behavior Trees on OpenAI Gym Environments

🌍 Explore coevolutionary loops in planetary intelligence with this machine learning dataset and research module for enhancing agent and system capabilities.

NKCS model for exploring aspects of (surrogate-assisted) coevolution.

Cooperative Co-evolutionary Particle Swarm Optimization (CCPSO) algorithms in Python.

Assignements in genetic algorithms class