Quality Diversity: A New Frontier for Evolutionary Computation

Cited by (513)

Items 301–400 of 513

1. Evolutionary Computation and AI Safety
   Joel Lehman · 2020 · Genetic and evolutionary computation
2. Embodied Computational Evolution: Feedback Between Development and Evolution in Simulated Biorobots
   Joshua Hawthorne-Madell, Eric Aaron, Ken Livingston, John H. Long · 2021 · Frontiers in Robotics and AI
3. Multi-objective Analysis of MAP-Elites Performance
   Eivind Samuelsen, Kyrre Glette · 2018 · arXiv (Cornell University)
4. Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution
   Lehman, Joel · 2019 · arXiv
5. Novel Policy Seeking with Constrained Optimization
   Hao Sun, Zhenghao Peng, Bo Dai, Jian Chun Guo, Dahua Lin, Bolei Zhou · 2020 · arXiv (Cornell University)
6. Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
   Tanmay Gangwani, Jian Peng, Yuan Zhou · 2020 · arXiv (Cornell University)
7. Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains
   Min Jiang, Guokun Chi, Geqiang Pan, Shihui Guo, Kay Chen Tan · 2020 · arXiv (Cornell University)
8. Adaptable Agent Populations via a Generative Model of Policies
   Kenneth Derek, Phillip Isola · 2021 · arXiv (Cornell University)
9. How Biological Concepts and Evolutionary Theories Are Inspiring Advances in Machine Intelligence
   Abigail R. Gutai, Thomas E. Gorochowski · 2021 · Preprints.org
10. AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks
    Mayalen Etcheverry, Clément Moulin-Frier, Pierre‐Yves Oudeyer, Michael G. Levin · 2024 · eLife
11. Dynamics of niche construction in adaptable populations evolving in diverse environments
    Nisioti, Eleni, Moulin-Frier, Clément · 2023 · The 2023 Conference on Artificial Life
12. Realistic Tax Planning with Evolutionary Algorithms
    Eric O. Scott, Anmol Srivastava, Abby Pusateri, Andy Taylor, Karen Jones, Hahnemann Ortiz · 2024 · IEEE Congress on Evolutionary Computation (CEC)
13. A Coach-Based Quality-Diversity Approach for Multi-agent Interpretable Reinforcement Learning
    Erik Nielsen, Andrea Ferigo, Giovanni Iacca · 2025 · Lecture notes in computer science
14. Diverse Level Generation via Machine Learning of Quality Diversity
    Konstantinos Sfikas, Antonios Liapis, Georgios N. Yannakakis · 2025 · International Conference on the Foundations of Digital Games (FDG)
15. When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks?
    Eleni Nisioti, Erwan Plantec, Milton L. Montero, Joachim Winther Pedersen, Sebastian Risi · 2025 · Genetic and Evolutionary Computation Conference (GECCO)
16. Scenario Discovery for urban planning: The case of green urbanism and the impact on stress
    Lorena Torres Lahoz, Carlos Lima Azevedo, Leonardo A. Ancora, Paulo Morgado, Zenia Kotval, Bruno Miranda, Francisco C. Pereira · 2025 · Futures
17. Revisiting and Improving the NEAT Algorithm
    Dimitar Lyubchev, Angel Marchev · 2025 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
18. Evolving neural networks through bio-inspired parent selection in dynamic environments
    Junya Sunagawa, Ryo Yamaguchi, Shinji Nakaoka · 2022 · Biosystems
19. Increasing the Diversity of Deep Generative Models
    Sebastian Berns · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
20. Co-evolutionary Diversity Optimisation for the Traveling Thief Problem
    Adel Nikfarjam, Aneta Neumann, Jakob Bossek, Frank Neumann · 2022 · Lecture notes in computer science
21. CAN PARETO FRONTS MEET THE SPLITTING CONDITION? COMPARING TWO GENERATIVE DESIGN ALGORITHMS BASED ON THE VARIETY OF DESIGN PARAMETERS COMBINATIONS THEY GENERATE
    Maxime Thomas, Lorenzo Nicoletti, Pascal Le Masson, Benoît Weil · 2023 · Proceedings of the Design Society
22. Quality Diversity optimization using the IsoLineDD operator: forward and backward directions are equally important
    Konstantinos Christou, Chris C. Christodoulou, Vassilis Vassiliades · 2023 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
23. Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms
    Mathias K. Nilsen, Tønnes F. Nygaard, Kai Olav Ellefsen · 2023 · Genetic Programming and Evolvable Machines
24. Simulation of the autonomous maze navigation using the NEAT algorithm
    Iaroslav Omelianenko · 2023 · PROBLEMS IN PROGRAMMING
25. Explainergy: Towards Explainability of Metaheuristic Performance in the Energy Field
    Fernando Lezama, José Almeida, João Soares, Zita Vale · 2023 · IEEE Symposium Series on Computational Intelligence (SSCI)
26. Resolving Goal-Conflicts and Scaling Synthesis through Mode-Based Decomposition
    Matías Brizzio · 2024 · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
27. Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
    Manon Flageat, Bryan Lim, Antoine Cully · 2024 · Genetic and Evolutionary Computation Conference (GECCO)
28. Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space
    Bohao Qu, Xiaofeng Cao, Yi Chang, Ivor Wai-Hung Tsang, Yew-Soon Ong · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
29. Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
    Greg d'Eon, Neil Newman, Kevin Leyton‐Brown · 2024 · ACM Conference on Economics and Computation (EC)
30. Bayesian illumination: Inference and quality-diversity accelerate generative molecular models
    Jonas Verhellen · 2025 · SciPost Chemistry
31. Quality-diversity and Novelty Search for Portfolio Optimization and Beyond
    Bruno Gašperov, Stjepan Begušić, Tessa Bauman, Zvonko Kostanjčar · 2025 · Computational Economics
32. Multiple Plans are Better than One: Diverse Stochastic Planning
    Mahsa Ghasemi, Evan Scope Crafts, Bo Zhao, Ufuk Topcu · 2021 · Proceedings of the International Conference on Automated Planning and Scheduling
33. Effects of Different Optimization Formulations in Evolutionary Reinforcement Learning on Diverse Behavior Generation
    Victor Villin, Naoki Masuyama, Yusuke Nojima · 2021 · IEEE Symposium Series on Computational Intelligence (SSCI)
34. Do Deep Reinforcement Learning Agents Model Intentions?
    Tambet Matiisen, Aqeel Labash, Daniel Majoral, Jaan Aru, Raúl Vicente · 2022 · Stats
35. Evolving neural networks to follow trajectories of arbitrary complexity
    Benjamin Inden, Jürgen Jost · 2019 · Neural Networks
36. Comparing reliability of grid-based quality-diversity algorithms using artificial landscapes
    Léo Cazenille · 2019 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
37. Automated exploration of DNA-based structure self-assembly networks
    Léo Cazenille, Alexandre Baccouche, Nathanaël Aubert-Kato · 2021 · Royal Society Open Science
38. An Efficient Evaluation Mechanism for Evolutionary Reinforcement Learning
    Xiaoqiang Wu, Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Jianyong Chen, Zhong Ming · 2022 · Lecture notes in computer science
39. Quality-diversity for Synthesizer Sound Matching
    Naotake Masuda, Daisuke Saito · 2023 · Journal of Information Processing
40. From real-time adaptation to social learning in robot ecosystems
    Alex Szorkovszky, Frank Veenstra, Kyrre Glette · 2023 · Frontiers in Robotics and AI
41. Evolving Dynamic Locomotion Policies in Minutes
    Konstantinos I. Chatzilygeroudis, Constantinos G. Tsakonas, Michael N. Vrahatis · 2023 · International Conference on Information, Intelligence, Systems & Applications (IISA)
42. Leveraging More of Biology in Evolutionary Reinforcement Learning
    Bruno Gašperov, Marko Ðurasević, Domagoj Jakobović · 2024 · Lecture notes in computer science
43. Quantifying the Effects of Increasing User Choice in MAP-Elites Applied to a Workforce Scheduling and Routing Problem
    Neil B. Urquhart, Emma Hart, William Hutcheson · 2019 · Lecture notes in computer science
44. Designing Computational Substrates using Open-Ended Evolution
    Matthew Dale, Susan Stepney, Martin A. Trefzer · 2020 · Conference on Artificial Life (ALIFE)
45. Diversity in swarm robotics with task-independent behavior characterization
    Tanja Katharina Kaiser, Heiko Hamann · 2020 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
46. Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures
    Sebastian Risi, Kenneth Owen Stanley · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
47. An Analysis of Phenotypic Diversity in Multi-Solution Optimization
    Alexander Hagg, Mike Preuß, Wessing, Simon, Asteroth, Alexander, Thomas Bäck · 2020 · Publication Server of Bonn-Rhein-Sieg University of Applied Sciences (Bonn-Rhein-Sieg University of Applied Sciences)
48. Automatic Goal Discovery in Subgoal Monte Carlo Tree Search
    Dominik Jeurissen, Mark H. M. Winands, Chiara F. Sironi, Diego Pérez-Liébana · 2021 · IEEE Conference on Games (CoG)
49. Managing Diversity and Many Objectives in Evolutionary Design
    Sheikh Faishal Basher, Brian J. Ross · 2022 · IEEE Congress on Evolutionary Computation (CEC)
50. Prototype Discovery using Quality-Diversity
    Alexander Hagg, Alexander Asteroth, Thomas Bäck · 2018 · arXiv (Cornell University)
51. Behavior-Guided Reinforcement Learning
    Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Anna Choromanska, Krzysztof Choromański, Michael I. Jordan · 2019 · arXiv (Cornell University)
52. A summary of the prevalence of Genetic Algorithms in Bioinformatics from 2015 onwards
    Mekaal Swerhun, Foley, Jasmine, Brandon Massop, Vijay Mago · 2020 · arXiv (Cornell University)
53. Reality-Assisted Evolution of Soft Robots through Large-Scale Physical Experimentation: A Review.
    Toby Howison, Simon Hauser, Josie Hughes, Fumiya Iida A · 2020 · arXiv (Cornell University)
54. Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
    Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam K. Lerer, Alistair Letcher, Alex Peysakhovich, Aldo Pacchiano, Jakob Foerster · 2020 · arXiv (Cornell University)
55. Population-Based Evolution Optimizes a Meta-Learning Objective
    Kevin Frans, Olaf Witkowski · 2021 · arXiv (Cornell University)
56. AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks
    Mayalen Etcheverry, Clément Moulin-Frier, Pierre‐Yves Oudeyer, Michael G. Levin · 2024 · eLife
57. Many-objective Optimization via Voting for Elites
    J. Rennard Dean, Nick Cheney · 2023 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
58. Exploration of Reservoir Properties in Molecular Computing Systems
    Nathanaël Aubert-Kato, Mika Ito · 2024 · IEEE Congress on Evolutionary Computation (CEC)
59. Towards Diverse Non-Player Character behaviour discovery in multi-agent environments
    Jan Kirk, Marco Scirea · 2024 · IEEE Conference on Games (CoG)
60. Objective-Informed Diversity for Multi-Objective Multiagent Coordination
    Gaurav Dixit, Kagan Tumer · 2024 · Frontiers in artificial intelligence and applications
61. Fitness Approximation Through Machine Learning with Dynamic Adaptation to the Evolutionary State
    Itai Tzruia, Tomer Halperin, Moshe Sipper, Achiya Elyasaf · 2024 · Information
62. Policy Similarity Measure for Two-Player Zero-Sum Games
    Hongsong Tang, Liuyu Xiang, Zhaofeng He · 2025 · Applied Sciences
63. Understanding Trade-Offs in Classifier Bias with Quality-Diversity Optimization: An Application to Talent Management
    Catalina M. Jaramillo, Paul Squires, Julian Togelius · 2025 · Lecture notes in computer science
64. Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification
    Yudi Zhao, Kuangrong Hao, Chaochen Gu, Bing Wei, Xinping Guan · 2025 · IEEE Transactions on Cybernetics
65. Behavior Allocations in Robotic Collective Herding Behavior Evolution
    Ameel Valjee, Bilal Aslan, Geoff Nitschke · 2025 · IEEE Congress on Evolutionary Computation (CEC)
66. Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites
    Gabriel Machado Santos, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento · 2025 · IEEE Congress on Evolutionary Computation (CEC)
67. Evolving Swarm-Robotic Behavioral Allocations
    Ameel Valjee, Bilal Aslan, Geoff Nitschke · 2025 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
68. Self-Adaptive Differential Evolution-Enhanced Quality-Diversity Optimization for Distributed Flexible Job-Shop Scheduling With Transportation
    Haoxiang Qin, Yi Xiang, Yuyan Han, Yuting Wang, Chunguo Wu, Fujian Feng · 2026 · IEEE Transactions on Emerging Topics in Computational Intelligence
69. Quality–Diversity and Illumination Algorithms in Discrete Combinatorial Domains: Diversity Metrics and Implications for Resilient Mining Operations
    Luis Rojas, Emanuel Vega, Lorena Jorquera, José García · 2026 · Mathematics
70. Evo-Reasoner: Evolutionary Optimization of Structured Reasoning in LLMs
    Pedro Bento, Arthur Buzelin, Arthur Chagas, Yan Aquino, Wagner Meira, Gisele Lobo Pappa · 2026 · Lecture notes in computer science
71. Designing Landscape-Aware Benchmarks with Explicit Local Optima for Single- and Multi-Objective Optimization
    Shuhei Tanaka, Shoichiro Tanaka, Kippei Mizuta, Toshiharu Hatanaka · 2026 · Genetic and Evolutionary Computation Conference (GECCO)
72. Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics
    Joel Lehman · 2017 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
73. DART: Diversity-Enhanced Autonomy in Robot Teams
    Nora Ayanian · 2019 · Springer proceedings in advanced robotics
74. Türkiye’de Fen Bilgisi Ve Biyoloji Öğretmen Adaylarına Yönelik Yapılmış Evrim Eğitimi Araştırmalarının Tematik Analizi
    Sema Özdeş, Fatih Sezek, Talip Özdeş · 2020 · Necatibey Eğitim Fakültesi Elektronik Fen ve Matematik Eğitimi Dergisi
75. Dynamics-aware novelty search with behavior repulsion
    Kang Xu, Yan Ma, Wei Li · 2022 · Genetic and Evolutionary Computation Conference (GECCO)
76. A discretization-free metric for assessing quality diversity algorithms
    Paul R. C. Kent, Juergen Branke, Adam Gaier, Jean-Baptiste Mouret · 2022 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
77. A Case Study of Quality-Diversity Search in Human Computation
    Seth Cooper · 2022 · Human Computation
78. Evolutionary Statistical System Based on Novelty Search: A Parallel Metaheuristic for Uncertainty Reduction Applied to Wildfire Spread Prediction
    Jan Strappa, Paola Caymes‐Scutari, Germán Bianchini · 2022 · Algorithms
79. Side-Scrolling Platform Game Levels Reachability Repair Method and Its Applications to Super Mario Bros
    Jin Zhang, Tianhan Gao, Qingwei Mi · 2022 · RIVF International Conference on Computing and Communication Technologies (RIVF)
80. Quality-diversity in dissimilarity spaces
    Steve Huntsman · 2023 · Genetic and Evolutionary Computation Conference (GECCO)
81. Learning Synergies for Multi-Objective Optimization in Asymmetric Multiagent Systems
    Gaurav Dixit, Kagan Tumer · 2023 · Genetic and Evolutionary Computation Conference (GECCO)
82. Promoting Originality in Online Swarm Robotics
    Amine M. Boumaza · 2023 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
83. Can the Problem-Solving Benefits of Quality Diversity Be Obtained without Explicit Diversity Maintenance?
    Ryan Boldi, Lee C. Spector · 2023 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
84. Premature convergence in morphology and control co-evolution: a study
    Luis Eguiarte-Morett, Wendy Aguilar · 2023 · Adaptive Behavior
85. Evolving Intertask Mappings for Transfer in Reinforcement Learning
    Minh Tuan Hua, John W. Sheppard · 2023 · IEEE Congress on Evolutionary Computation (CEC)
86. Illuminating Metaheuristic Performance Using Vortex MAP-Elites for Risk-Based Energy Resource Management
    José Almeida, Fernando Lezama, João Soares, Zita Vale · 2023 · Lecture notes in computer science
87. Adaptive Network Slicing Control Method for Unpredictable Network Variations Using Quality-Diversity Algorithms
    Amato Otsuki, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata, Tatsuya Otoshi · 2024 · IEEE Consumer Communications and Networking Conference
88. Finding Near-Optimal Portfolios with Quality-Diversity
    Bruno Gašperov, Marko Ðurasević, Domagoj Jakobović · 2024 · Lecture notes in computer science
89. Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training
    Wenjun Li, Pradeep Reddy Varakantham · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
90. Evolving Visually-Diverse Graphic Design Posters
    João Macedo, Daniel Lopes, João Correia, Penousal Machado, Ernesto J. F. Costa · 2024 · Lecture notes in computer science
91. Robustness in Diversity: Quality-Diversity Driven Discovery of Agile Soft Robotic Gaits
    John Daly, Daniel Casper, Muhammad Umar Farooq, Andrew James, Ali Nawaz Khan, Phoenix Mulgrew, Daniel Tyebkhan, Bao Vo, John A. Rieffel · 2024 · IEEE International Conference on Soft Robotics (RoboSoft)
92. Density Descent for Diversity Optimization
    David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, Bryon Tjanaka, Stefanos Nikolaidis · 2024 · Genetic and Evolutionary Computation Conference (GECCO)
93. Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution
    Alejandro Marrero, Eduardo Segredo, Coromoto León, Emma Hart · 2024 · Genetic and Evolutionary Computation Conference (GECCO)
94. A Quality Diversity Study in EvoDevo Processes for Engineering Design
    Edgar Buchanan, Simon Hickinbotham, Rahul Dubey, Imelda Friel, Andrew R. Colligan, Mark A. Price, Andy M. Tyrrell · 2024 · IEEE Congress on Evolutionary Computation (CEC)
95. Effective Kinodynamic Planning and Exploration Through Quality Diversity and Trajectory Optimization
    Konstantinos A. Asimakopoulos, Aristeidis A. Androutsopoulos, Michael N. Vrahatis, Konstantinos I. Chatzilygeroudis · 2025 · Lecture notes in computer science
96. Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations
    Konstantinos Mitsides, Maxence Faldor, Antoine Cully · 2025 · Genetic and Evolutionary Computation Conference (GECCO)
97. Enhancing Quality-Diversity Optimization Through Domain-Specific Dissimilarity as Crowding Distance
    Maciej Komosiński, Agnieszka Mensfelt · 2025 · Genetic and Evolutionary Computation Conference (GECCO)
98. Diversity-based design assist for large legged robots
    Gerard Howard, Thomas Löwe, Wade Geles · 2020 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
99. EvoRobogami
    Huang Zonghao, Quinn Wu, David Howard, Cynthia Sung · 2022 · Genetic and Evolutionary Computation Conference (GECCO)
100. Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration
     Jiayu Miao, Tianze Zhou, Kun Shao, Ming Qiu Zhou, Weinan Zhang, Jianye Hao, Yong Hai Yu, Yi-Xiang Wang · 2022 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings