A bare-bones Python library for quality diversity optimization.
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Updated
Jul 22, 2026 - Python
A bare-bones Python library for quality diversity optimization.
MAP-Elites Hyper-Heuristic based algorithm for generating schedules for the Resource Constrained Project Scheduling Problem
Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"
Argenomic is a quality-diversity (or illumination) algorithm for optimization of small organic molecules.
A universal supervisor controller and ER suite for Webots that can be adapted to any wheeled robot morphology with ease. The project is also setup to allow for easy Reinforcement Learning experimentation with some select algorithms (CMA-ES, Novlty Search, MAP-Elites) and neural networks (fixed and recurrent).
Co-optimization of body and control of soft robots promoting quality diversity
MSc research project on application of Quality-Diversity algorithms for crystal structure prediction
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.
Self-Improving Agentic RAG Engine - Evolve multi-agent RAG pipelines using Quality-Diversity optimization
Map Elites Hyper-Heuristic based algorithm for generating schedules for the Resource Constrained Project Scheduling Problem
Evidence-gated AI invention and evolution lab: attended multi-model debate, sandboxed experiments, MAP-Elites search, calibrated promotion, and human-owned authority.
Interpretable Multi Agent Reinforcement Learning with a Quality DIversity Approach
Implementation of Farm Surveillance Problem introduced in Optimizing Camera Placement for Chicken Farm Monitoring
Mission-guided TG-MCTS-Elites and operator-matched random-search benchmarking for PX4-Avoidance UAV testing.
Code and reproduction instructions for the paper: 'Beyond Single-Model Retention: Preserving Plasticity in Continual Reinforcement Learning'. Accepted as an Oral at the Fifth Conference on Lifelong Learning Agents - CoLLAs 2026.
Observability, steering, and provenance dashboard for autonomous-research agents.
Implementation of "Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces" (ICLR 2026 Oral)
Evolutionary algorithm framework for LLM agents — NSGA-II, MAP-Elites, mypy strict (Python)
Phage: an evolutionary HTTP/3-to-HTTP/1 request-smuggling desync fuzzer. A fork of CyberArk QuicDrawH3 that adds a MAP-Elites engine, QUIC-state genes (bare FIN, RESET), and H3/H2 downgrade operators on top of the Quic-Fin-Sync primitive.
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