Quality Diversity: A New Frontier for Evolutionary Computation

Cited by (513)

Items 201–300 of 513

1. Behavioral Repertoire via Generative Adversarial Policy Networks
   Marija Jegorova, Stéphane Doncieux, Timothy M. Hospedales · 2020 · IEEE Transactions on Cognitive and Developmental Systems
2. Self-referential quality diversity through differential MAP-Elites
   Tae Jong Choi, Julian Togelius · 2021 · Genetic and Evolutionary Computation Conference (GECCO)
3. Gram-Elites: N-Gram Based Quality-Diversity Search
   Colan F. Biemer, Alejandro Hervella, Seth Cooper · 2021 · International Conference on the Foundations of Digital Games (FDG)
4. Concept identification for complex engineering datasets
   Felix Lanfermann, Sebastian Schmitt · 2022 · Advanced Engineering Informatics
5. Open-ended evolution with multi-containers QD
   Stéphane Doncieux, Alexandre Coninx · 2018 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
6. Active learning via informed search in movement parameter space for efficient robot task learning and transfer
   Nemanja Rakicevic, Petar S. Kormushev · 2019 · Autonomous Robots
7. Learning a Behavioral Repertoire from Demonstrations
   Niels Justesen, Miguel González-Duque, Daniel Cabarcas, Jean-Baptiste Mouret, Sebastian Risi · 2020 · IEEE Conference on Games (CoG)
8. Exploring the BipedalWalker benchmark with MAP-Elites and curiosity-driven A3C
   Vikas Gupta, Nathanaël Aubert-Kato, Léo Cazenille · 2020 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
9. Productive fitness in diversity-aware evolutionary algorithms
   Thomas Gabor, Thomy Phan, Claudia Linnhoff–Popien · 2021 · Natural Computing
10. Procedural Generation of Game Levels and Maps: A Review
    Tianhan Gao, Jin Zhang, Qingwei Mi · 2022 · International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
11. Diversity and Novelty MasterPrints: Generating Multiple DeepMasterPrints for Increased User Coverage
    Megan Charity, Nasir D. Memon, Zehua Jiang, Abhi Sen, Julian Togelius · 2022 · International Conference of the Biometrics Special Interest Group (BIOSIG)
12. Baba is Y'all 2.0: Design and Investigation of a Collaborative Mixed-Initiative System
    Megan Charity, Isha Dave, Ahmed Khalifa, Julian Togelius · 2022 · IEEE Transactions on Games
13. Vulnerable road user detection: state-of-the-art and open challenges
    Patrick Mannion · 2019 · arXiv (Cornell University)
14. Evolvability ES: Scalable and Direct Optimization of Evolvability
    Alexander Gajewski, Jeff Clune, Kenneth Owen Stanley, Joel Lehman · 2019 · arXiv (Cornell University)
15. Weakly-Supervised Reinforcement Learning for Controllable Behavior
    Lisa Lee, Benjamin Eysenbach, Ruslan Salakhutdinov, Shixiang Gu, Chelsea Finn · 2020 · arXiv (Cornell University)
16. HyperNCA: Growing Developmental Networks with Neural Cellular Automata
    Elias Najarro, Sudhakaran, Shyam, Claire Glanois, Sebastian Risi · 2022 · IT University Of Copenhagen (IT University of Copenhagen)
17. Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity
    Ryan Boldi, Maxence Faldor, Luca Grillotti, Hannah Janmohamed, Lisa Coiffard, Lee C. Spector, Antoine Cully · 2025 · Genetic and Evolutionary Computation Conference (GECCO)
18. Assessing the Effects of Interacting with MAP-Elites
    Alberto Alvarez, José Font, Steve Dahlskog, Julian Togelius · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
19. The Quality-Diversity Transformer: Generating Behavior-Conditioned Trajectories with Decision Transformers
    Valentin Macé, Raphaël Boige, Félix Chalumeau, Thomas Pierrot, Guillaume Richard, Nicolas Perrin · 2023 · Genetic and Evolutionary Computation Conference (GECCO)
20. Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms
    François Clément, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Luís Paquete, Carola Doerr · 2023 · Genetic and Evolutionary Computation Conference (GECCO)
21. Real-Time Policy Optimization for UAV Swarms Based on Evolution Strategies
    Zeyu Chen, Haiying Liu, Guohua Liu · 2024 · Drones
22. Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites
    Kehinde O. Babaagba, Zhiyuan Tan, Emma Hart · 2020 · Lecture notes in computer science
23. Quality Diversity for Synthesizer Sound Matching
    Naotake Masuda, Daisuke Saito · 2021 · International Conference on Digital Audio Effects (DAFx)
24. Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Toward Asynchronous Commercial Games
    Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, Ran Cheng · 2022 · IEEE Transactions on Games
25. Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
    Shikha Surana, Bryan Lim, Antoine Cully · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
26. AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms With Diverse Structures
    Qi Gang Zhao, Yan Bai, Taiwei Hu, Xianglong Chen, Jian Yang, Shi Cheng, Yuhui Shi · 2025 · IEEE Transactions on Emerging Topics in Computational Intelligence
27. Niching-based evolutionary diversity optimization for the traveling salesperson problem
    Anh Phan Viet, Mingyu Guo, Aneta Neumann, Frank Neumann · 2022 · Genetic and Evolutionary Computation Conference (GECCO)
28. Voxelbuild
    Lisa B. Soros, Justin K. Pugh, Kenneth Owen Stanley · 2017 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
29. Searching for test data with feature diversity
    ROBERT H. FELDT, Simon Poulding · 2017 · arXiv (Cornell University)
30. Learning to Score Behaviors for Guided Policy Optimization
    Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Anna Choromanska, Krzysztof Choromański, Michael I. Jordan · 2019 · arXiv (Cornell University)
31. BOP-Elites, a Bayesian Optimisation algorithm for Quality-Diversity search
    Paul R. C. Kent, Juergen Branke · 2020 · arXiv (Cornell University)
32. Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
    Jack Parker-Holder, Vu Nguyen, Shaan A. Desai, Stephen Roberts · 2021 · Oxford University Research Archive (ORA) (University of Oxford)
33. Personalizing financial literacy learning for children through GenAI and agentic design: A game-based experiment
    Gabriel Martins Gomes dos Santos, Rita Maria Silva Julia, Marcelo Zanchetta do Nascimento · 2026 · Expert Systems with Applications
34. Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation
    Alican Mertan, Nick Cheney · 2024 · Genetic and Evolutionary Computation Conference (GECCO)
35. Assessing evolutionary terrain generation methods for curriculum reinforcement learning
    David Howard, Humphrey Munn, Davide Dolcetti, Josh Kannemeyer, Nicole Robinson · 2022 · Genetic and Evolutionary Computation Conference (GECCO)
36. Diversity Enhancement via Magnitude
    Steve Huntsman · 2023 · Lecture notes in computer science
37. A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms
    Kirsty Montague, Emma Hart, Geoff Nitschke, Ben Paechter · 2023 · Lecture notes in computer science
38. Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting
    Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu · 2023 · International Joint Conference on Artificial Intelligence
39. Fuzzing Drone Control System Configurations Based on Quality-Diversity Enhanced Genetic Algorithm
    Zhiwei Chang, Hanfeng Zhang, Yue Yang, Yan Jia, Sihan Xu, Tong Li, Zheli Liu · 2024 · Lecture notes in computer science
40. Improving Algorithm-Selectors and Performance-Predictors via Learning Discriminating Training Samples
    Quentin Renau, Emma Hart · 2024 · Genetic and Evolutionary Computation Conference (GECCO)
41. Quality Evolvability ES: Evolving Individuals With a Distribution of Well Performing and Diverse Offspring
    Adam Katona, Daniel Wayne Franks, James Alfred Walker · 2021 · Conference on Artificial Life (ALIFE)
42. Discovering and Exploiting Sparse Rewards in a Learned Behavior Space
    Giuseppe Paolo, Alexandre Coninx, Alban Laflaquière, Stéphane Doncieux · 2023 · Evolutionary Computation
43. Generating and Adapting to Diverse Ad Hoc Partners in Hanabi
    Rodrigo Canaan, Xianbo Gao, Julian Togelius, Andy Nealen, Stefan Menzel · 2022 · IEEE Transactions on Games
44. The Elements of Flexibility for Task-Performing Systems
    Sebastian Mayer, Léo Françoso Dal Piccol Sotto, Jochen Garcke · 2023 · IEEE Access
45. Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms
    Connor Mattson, Daniel S. Brown · 2023 · Genetic and Evolutionary Computation Conference (GECCO)
46. Increasing Features in MAP-Elites Using an Age-Layered Population Structure
    Andrew Pozzuoli, Brian J. Ross · 2023 · IEEE Congress on Evolutionary Computation (CEC)
47. WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets
    Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy V. Pitt · 2021 · Lecture notes in computer science
48. Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods
    Jiale Zhi, Rui Wang, Jeff Clune, Kenneth Owen Stanley · 2020 · arXiv (Cornell University)
49. Non-local Policy Optimization via Diversity-regularized Collaborative Exploration
    Zhenghao Peng, Hao Sun, Bolei Zhou · 2020 · arXiv (Cornell University)
50. Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm
    Karol Gregor, Frederic Besse · 2021 · arXiv (Cornell University)
51. Exploring the Dynamic Properties of Interaction in Mixed-Initiative Procedural Content Generation
    Alberto Alvarez · 2020
52. Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
    Zhang, Jenny, Hu, Shengran, Lu, Cong, Lange, Robert, Clune, Jeff · 2025 · arXiv
53. EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
    Bowen Zheng, Ran Cheng, Kay Chen Tan · 2025 · ACM Transactions on Evolutionary Learning and Optimization
54. A Survey on Evolutionary Multimodal Optimization-Driven Machine Learning
    Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang · 2025 · IEEE Transactions on Evolutionary Computation
55. A knowledge region selection enhanced quality-diversity algorithm for real-world flexible job shop scheduling with Automated Guided Vehicles transportation
    Haoxiang Qin, Yi Xiang, Yuyan Han, Yuting Wang, Junqing Li, Quan-Ke Pan · 2025 · Engineering Applications of Artificial Intelligence
56. Handling integrated transportation and production scheduling via deep-Q-network-enhanced multi-objective quality–diversity algorithm
    Ronghua Zou, Haoxiang Qin, Yi Xiang, Chunguo Wu · 2026 · Engineering Optimization
57. Body and Brain Quality-Diversity in Robot Swarms
    Sindiso Mkhatshwa, Geoff Nitschke · 2024 · ACM Transactions on Evolutionary Learning and Optimization
58. Guiding Quality Diversity on Monotone Submodular Functions: Customising the Feature Space by Adding Boolean Conjunctions
    Marcus Schmidbauer, Andre Opris, Jakob Bossek, Frank Neumann, Dirk Sudholt · 2024 · Genetic and Evolutionary Computation Conference (GECCO)
59. Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
    Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Isaac Triguero A, Bing Xue, Xin Yao, Francisco Herrera · 2025 · IEEE Transactions on Evolutionary Computation
60. Comparative studies of evolutionary methods and RL for learning behavior of virtual creatures
    Takumi Saito, Haruki Nishimura, Mizuki Oka · 2022 · IEEE Symposium Series on Computational Intelligence (SSCI)
61. The Impact of Morphological Diversity in Robot Swarms
    Sindiso Mkhatshwa, Geoff Nitschke · 2023 · Genetic and Evolutionary Computation Conference (GECCO)
62. Low-cost fuzzing drone control system for configuration errors threatening flight safety in edge terminals
    Zhiwei Chang, Hanfeng Zhang, Yan Jia, Sihan Xu, Tong Li, Zheli Liu · 2024 · Computer Communications
63. The Role of the Substrate in CA-based Evolutionary Algorithms
    Gloria Pietropolli, Stefano Nichele, Eric Medvet · 2024 · Genetic and Evolutionary Computation Conference (GECCO)
64. Exploring the Performance-Reproducibility Trade-Off in Quality-Diversity
    Manon Flageat, Hannah Janmohamed, Bryan Lim, Antoine Cully · 2025 · IEEE Transactions on Evolutionary Computation
65. Comparing Approaches for Evolving High-Level Robot Control Based on Behaviour Repertoires
    Jorge Gomes, Anders Lyhne Christensen · 2018 · IEEE Congress on Evolutionary Computation (CEC)
66. T-DominO
    Adam Gaier, James Stoddart, Lorenzo Villaggi, Peter J. Bentley · 2022 · Lecture notes in computer science
67. PART I: The Singleton Paradox: On the Future of Human-Machine Teaming and Potential Disruption of War Itself
    Ben Zweibelson · 2023 · Journal of advanced military studies
68. Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms
    Manon Flageat, Bryan Lim, Antoine Cully · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
69. Intrinsically Motivated Exploration for Automated Discovery of Patterns in Morphogenetic Systems.
    Chris Reinke, Mayalen Etcheverry, Pierre‐Yves Oudeyer · 2019 · arXiv (Cornell University)
70. Evolutionary Algorithms in Web Security: Exploring Untapped Potential
    Sam Attwood, Wanpeng Li, Rupak Kharel · 2020 · International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
71. Unsupervised Task Clustering for Multi-task Reinforcement Learning
    Johannes Ackermann, Oliver Richter, Roger P. Wattenhofer · 2021 · Lecture notes in computer science
72. Clonal plasticity: an autonomic mechanism for multi-agent systems to self-diversify
    Vivek Nallur, Siobhán Clarke · 2017 · Autonomous Agents and Multi-Agent Systems
73. Evolving Neural Style Transfer Blends
    Simon Colton · 2021 · Lecture notes in computer science
74. Using MAP-Elites to Optimize Self-Assembling Behaviors in a Swarm of Bio-micro-robots
    Léo Cazenille, Nicolas Bredèche, Nathanaël Aubert-Kato · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
75. Affect-Conditioned Image Generation
    Francisco Ibarrola, Rohan Lulham, Kazjon S. Grace · 2024 · IEEE Transactions on Affective Computing
76. Quality Diversity Genetic Programming for Learning Scheduling Heuristics
    Meng Ran Xu, Frank Neumann, Aneta Neumann, Yew-Soon Ong · 2025 · Genetic and Evolutionary Computation Conference (GECCO)
77. A survey on Quality-Diversity optimization: Approaches, applications, and challenges
    Haoxiang Qin, Yi Xiang, Hainan Zhang, Yuyan Han, Yuting Wang, Xin-Rui Tao, Yiping Liu · 2025 · Swarm and Evolutionary Computation
78. Optimizing Energy-Efficient Flexible Job Shop Scheduling with Transportation Constraints: A Q-Learning Enhanced Quality-Diversity Algorithm
    Haoxiang Qin, Yi Xiang, Yuyan Han, Xueming Yan · 2024 · International Conference on Data-driven Optimization of Complex Systems (DOCS)
79. RUMI: Rummaging Using Mutual Information
    Sheng Zhong, Nima Fazeli, Dmitry Berenson · 2025 · IEEE Transactions on Robotics
80. Maintaining Diversity in Robot Swarms with Distributed Embodied Evolution
    Iñaki Fernández Pérez, Amine M. Boumaza, François Charpillet · 2018 · Lecture notes in computer science
81. QDax
    Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully · 2022 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
82. Balancing teams with quality-diversity for heterogeneous multiagent coordination
    Gaurav Dixit, Kagan Tumer · 2022 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
83. Using estimation of distribution algorithm for procedural content generation in video games
    Arash Moradi Karkaj, Shahriar Lotfi · 2022 · Genetic Programming and Evolvable Machines
84. A scalable species-based genetic algorithm for reinforcement learning problems
    Anirudh Seth, Alexandros Nikou, Marios Daoutis · 2022 · The Knowledge Engineering Review
85. Investigation of starting conditions in generative processes for the design of engineering structures
    Edgar Buchanan, Rahul Dubey, Simon Hickinbotham, Imelda Friel, Andrew R. Colligan, Mark A. Price, Andy M. Tyrrell · 2023 · IEEE Symposium Series on Computational Intelligence (SSCI)
86. Quality Diversity for Visual Pre-Training
    Ruchika Chavhan, Henry Gouk, Da Li, Timothy M. Hospedales · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
87. Evolutionary Reinforcement Learning: A Hybrid Approach for Safety-informed Intelligent Fault-tolerant Flight Control
    Vlad Gavra, Erik-Jan Van Kampen · 2024 · AIAA SciTech Forum
88. MAP-Elites with Transverse Assessment for Multimodal Problems in Creative Domains
    Marvin Zammit, Antonios Liapis, Georgios N. Yannakakis · 2024 · Lecture notes in computer science
89. Particularity
    Lee C. Spector, Li Ding, Ryan Boldi · 2024 · Genetic and evolutionary computation
90. Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs
    Björn Þór Jónsson, Çağrı Erdem, Stefano Fasciani, Kyrre Glette · 2024 · Lecture notes in computer science
91. Solving Deceptive Problems Without Explicit Diversity Maintenance
    Ryan Boldi, Li Ding, Lee C. Spector · 2024 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
92. Hot off the Press: Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
    Chao Qian, Ke Xue, Ren-Jian Wang · 2025 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
93. Optimisation of Multi-Modal Aerodynamic Shape and Topology Problems
    Alexandre D. Payot, Laurence Kedward, Thomas Rendall, Christian B Allen · 2019 · AIAA SciTech Forum
94. Benchmarking open-endedness in minimal criterion coevolution
    Jonathan C. Brant, Kenneth Owen Stanley · 2019 · Genetic and Evolutionary Computation Conference (GECCO)
95. Using MAP-Elites to support policy making around Workforce Scheduling and Routing
    Neil B. Urquhart, Emma Hart, William Hutcheson · 2020 · at - Automatisierungstechnik
96. Evolution of Diverse Swarm Behaviors with Minimal Surprise
    Tanja Katharina Kaiser, Heiko Hamann · 2020 · Conference on Artificial Life (ALIFE)
97. Quality Diversity Genetic Programming for Learning Decision Tree Ensembles
    Stephen Boisvert, John W. Sheppard · 2021 · Lecture notes in computer science
98. Quality-Diversity for Aesthetic Evolution
    Jon McCormack, Camilo Cruz Gambardella · 2022 · Lecture notes in computer science
99. Evolving topology and weights of specialized and non-specialized neuro-controllers for robot motion in various environments
    Adham Salih, Amiram Moshaiov · 2022 · Neural Computing and Applications
100. PlayMapper: Illuminating Design Spaces of Platform Games
     Vivek R. Warriar, Carmen Ugarte, John Robert Woodward, Laurissa N. Tokarchuk · 2019 · IEEE Conference on Games (CoG)