A collection of papers on divergence and quality diversity
🧬 Self-optimizing vector database using MAP-Elites. 51x faster than ChromaDB, 82x faster than LanceDB, 100% recall. Auto-evolves optimal index configs via Quality Diversity.
LLMatic is a 2-archive QD algorithm that uses LLMs to mutate the networks. Tested for Neural Architecture search but can easily be used for any domain.
A Gymnasium-compatible reimplementation of SharpNEAT hardmaze environment
Source code used in simulations for the paper "A Framework for Automatic Behavior Generation in Multi-Function Swarms" accepted by Frontiers in Robotics and AI Oct. 2020.
Autonomous flight simulator for AI agents — co-evolutionary adversarial red-teaming with 3D MAP-Elites quality-diversity. Discovers zero-days in LLM agents before production. MCP-native.
Self-Improving Agentic RAG Engine - Evolve multi-agent RAG pipelines using Quality-Diversity optimization
This project makes use of and extends the open source Robogen platform for the simulated co-evolution of collective behavior and morphology.
Report for my MSc individual project at Imperial College London
Implementation of "Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces" (ICLR 2026 Oral)
surrogate-assisted MAP-Elites engine for discovering diverse emergent worlds in generalized cellular automata
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