mlsanityData to 7 Oct 2026

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration

arXiv 2308.03665 ↗First posted 7 Aug 2023cs.AI cs.NEcited by 16

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Abstract (arXiv)

QDax is an open-source library with a streamlined and modular API for Quality-Diversity (QD) optimization algorithms in Jax. The library serves as a versatile tool for optimization purposes, ranging from black-box optimization to continuous control. QDax offers implementations of popular QD, Neuroevolution, and Reinforcement Learning (RL) algorithms, supported by various examples. All the implementations can be just-in-time compiled with Jax, facilitating efficient execution across multiple accelerators, including GPUs and TPUs. These implementations effectively demonstrate the framework's flexibility and user-friendliness, easing experimentation for research purposes. Furthermore, the library is thoroughly documented and tested with 95% coverage.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). Builds on 26 of its 35 references that are in the map. First posted on arXiv 7 Aug 2023.

Builds on

26 of 35 references.

References · 26

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  2. 2021Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learningcited by 882
  3. 2018Diversity is All You Need: Learning Skills without a Reward Functioncited by 734
  4. 2015Illuminating search spaces by mapping elitescited by 406
  5. 2021Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulationcited by 375
  6. 2017Population Based Training of Neural Networkscited by 351
  7. 2019Dynamics-Aware Unsupervised Discovery of Skillscited by 308
  8. 2014Robots that can adapt like animalscited by 203
  9. 2020One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RLcited by 79
  10. 2019Covariance Matrix Adaptation for the Rapid Illumination of Behavior Spacecited by 78
  11. 2021Differentiable Quality Diversitycited by 71
  12. 2016Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithmcited by 65
14 more
  1. 2020Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimizationcited by 53
  2. 2023Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAXcited by 52
  3. 2020Scaling MAP-Elites to Deep Neuroevolutioncited by 38
  4. 2022EvoJAX: Hardware-Accelerated Neuroevolutioncited by 29
  5. 2023pyribs: A Bare-Bones Python Library for Quality Diversity Optimizationcited by 29
  6. 2022Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discoverycited by 23
  7. 2019Empowering Quality Diversity in Dungeon Design with Interactive Constrained MAP-Elitescited by 18
  8. 2022Multi-Objective Quality Diversity Optimizationcited by 18
  9. 2022Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domainscited by 15
  10. 2022Accelerated Quality-Diversity through Massive Parallelismcited by 14
  11. 2022Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learningcited by 10
  12. 2017Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illuminationcited by 6
  13. 2023Evolving Populations of Diverse RL Agents with MAP-Elitescited by 5
  14. 2022Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problemscited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 3; 2025: 6; 2026: 4.

16 papers.

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  1. 2024CAX: Cellular Automata Accelerated in JAXcited by 8
  2. 2025Dominated Novelty Search: Rethinking Local Competition in Quality-Diversitycited by 7
  3. 2023Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learningcited by 6
  4. 2023Diversity from Human Feedbackcited by 5
  5. 2023Mix-ME: Quality-Diversity for Multi-Agent Learningcited by 4
  6. 2025Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimizationcited by 2
  7. 2025Multi-Objective Quality-Diversity in Unstructured and Unbounded Spacescited by 2
  8. 2025Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategiescited by 2
  9. 2025When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks?cited by 2
  10. 2024Quality-Diversity with Limited Resourcescited by 1
  11. 2024Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversitycited by 1
  12. 2026Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAXcited by 1
4 more
  1. 2025Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variationscited by 0
  2. 2026Distributional Value Estimation Without Target Networks for Robust Quality-Diversitycited by 0
  3. 2026Contextual Quality-Diversity Evolutionary Reinforcement Learning for HVAC Control in Tropical Commercial Buildingscited by 0
  4. 2026Behavioral Foundation Models for Quality Diversitycited by 0