Quality Diversity: A New Frontier for Evolutionary Computation

Cited by (513)

Items 401–500 of 513

1. Evolution of neural networks
   Risto P Miikkulainen · 2022 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
2. Fitness diversification in the service of fitness optimization
   Kamil Basiukajc, Maciej Komosiński, Konrad Miazga · 2022 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
3. Plasticity and evolvability under environmental variability
   Eleni Nisioti, Clément Moulin-Frier · 2022 · Genetic and Evolutionary Computation Conference (GECCO)
4. Exploration and Exploitation in Symbolic Regression using Quality-Diversity and Evolutionary Strategies Algorithms
   Jean-Philippe Bruneton, Leo Cazenille, A. Douin, V. Reverdy · 2019 · arXiv.org
5. Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT
   James Butterworth, Rahul Savani, Karl Tuyls · 2019 · arXiv (Cornell University)
6. Learning Diverse Representations for Fast Adaptation to Distribution Shift
   Daniel Pace, Alessandra Russo, Murray Shanahan · 2020 · arXiv (Cornell University)
7. Rinascimento: searching the behaviour space of Splendor
   Ivan Bravi, Simon Mark Lucas · 2021 · arXiv (Cornell University)
8. Self-Referential Quality Diversity Through Differential Map-Elites
   Tae Jong Choi, Julian Togelius · 2021 · arXiv (Cornell University)
9. Evolutionary Self-Replication as a Mechanism for Producing Artificial Intelligence
   Samuel Schmidgall, Hays, Joseph · 2021 · arXiv (Cornell University)
10. Few-shot Quality-Diversity Optimisation.
    Achkan Salehi, Alexandre Coninx, Stéphane Doncieux · 2021 · arXiv (Cornell University)
11. Diversity measure for discrete optimization: Sampling rare solutions via algorithmic quantum annealing
    Masoud Mohseni, Marek M. Rams, Sergei V. Isakov, Daniel Eppens, Susanne Pielawa, Johan Strümpfer, Sergio Boixo, Hartmut Neven · 2021 · arXiv (Cornell University)
12. Learning in Sparse Rewards settings through Quality-Diversity algorithms
    Giuseppe Paolo · 2022 · arXiv (Cornell University)
13. Orchestrating and Adapting of Dungeon Levels, Locked-door Missions, and Enemies
    Breno M. F. Viana · 2022
14. Exploring Game Design through Human-AI Collaboration
    Alberto Alvarez · 2022
15. 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
16. 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
17. Basil: Best-Action Symbolic Interpretable Learning for Evolving Compact Rl Policies
    Kourosh Shahnazari, Seyed Moein Ayyoubzadeh, Mohammadali Keshtparvar · 2025 · SSRN Electronic Journal
18. Reinforcement learning for combinatorial optimization : leveraging uncertainty, structure and priors
    Nathan Grinsztajn · 2023
19. Endless minds most beautiful : building open-ended linguistic autotelic agents with deep reinforcement learning and language models
    Laetitia Teodorescu · 2023 · theses.fr (ABES)
20. At Equal Inference Cost, Multi-Agent Structure Does Not Beat a Single Frozen Agent
    Dylan, David, Brennan, Aoife, Murphy, Cian, O'Sullivan, Niamh, Kelly, Conor, Walsh, Saoirse · 2026 · arXiv
21. Chairs' welcome for GECCO'17 workshop "evolution in cognition"
    Stéphane Doncieux, Joshua E. Auerbach, Richard José Duro, Harold P. de Vladar · 2017 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
22. Mapping Structural Diversity in Networks Sharing a Given Degree Distribution and Global Clustering: Adaptive Resolution Grid Search Evolution with Diophantine Equation-Based Mutations
    Peter Overbury, Istvan Zoltan Kiss, Luc Berthouze A · 2018 · Studies in computational intelligence
23. Wasserstein Reinforcement Learning.
    Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Anna Choromanska, Krzysztof Choromański, Michael I. Jordan · 2019 · arXiv (Cornell University)
24. Training Neural Networks Through the Integration of Evolution and Gradient Descent
    Gregory Morse · 2019 · Journal of International Crisis and Risk Communication Research
25. Diversity-based Design Assist for Large Legged Robots
    David Howard, Thomas Löwe, Geles, Wade · 2020 · arXiv (Cornell University)
26. Divergent Search for Few-Shot Image Classification
    Jeremy Tan, Bernhard Kainz · 2020 · arXiv (Cornell University)
27. Open-ended Search through Minimal Criterion Coevolution
    Jonathan C. Brant · 2020 · Journal of International Crisis and Risk Communication Research
28. Computing Diverse Sets of Solutions for Monotone Submodular Optimisation Problems
    Aneta Neumann, Jakob Bossek, Frank Neumann · 2020 · arXiv (Cornell University)
29. Policy Manifold Search for Improving Diversity-based Neuroevolution
    Nemanja Rakicevic, Antoine Cully, Petar S. Kormushev · 2020 · arXiv (Cornell University)
30. Deep learning that scales: leveraging compute and data
    Víctor Campos Camúñez · 2020
31. Discovering Diverse Athletic Jumping Strategies
    Zhiqi Yin, Zeshi Yang, Michiel van de Panne, KangKang Yin · 2021 · arXiv (Cornell University)
32. Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search
    Kevin Frans, Lisa B. Soros, Olaf Witkowski · 2021 · arXiv (Cornell University)
33. Survey in Novelty Search
    Mahmoud Mohamed Nabil, Magdy Zakaria · 2022 · International Journal of Computer Applications
34. Discovering diverse athletic jumping strategies
    Zhiqi Yin, Zeshi Yang, Michiel van de Panne, KangKang Yin · 2021 · ACM Transactions on Graphics
35. Seeking Specialization Through Novelty in Distributed Online Collective Robotics
    Amine M. Boumaza · 2022 · Lecture notes in computer science
36. Evolutionary diversity optimization for combinatorial optimization
    Jakob Bossek, Aneta Neumann, Frank Neumann · 2022 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
37. Improving the Size and Quality of MAP-Elites Containers via Multiple Emitters and Decoders for Urban Logistics
    Neil B. Urquhart, Emma Hart · 2023 · Lecture notes in computer science
38. Evolution of Neural Networks
    Risto P Miikkulainen · 2023 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
39. Evolutionary design and analysis of ribozyme-based logic gates
    Nicolas Kamel, Nawwaf N. Kharma, Jonathan Perreault · 2023 · Genetic Programming and Evolvable Machines
40. Learning latent representations for controllable combinational creativity and game design
    Anurag Sarkar · 2023
41. A multiscale computational framework for the development of spines in molluscan shells
    Derek E. Moulton, Nathanaël Aubert-Kato, Axel A. Almet, Atsuko Sato · 2024 · PLoS Computational Biology
42. Synthesising Diverse and Discriminatory Sets of Instances Using Novelty Search in Combinatorial Domains
    Alejandro Marrero, Eduardo Segredo, Coromoto León, Emma Hart · 2024 · Evolutionary Computation
43. Asynchronous Collaboration with Quality-Diversity Search in Human Computation Games
    Nicholas Osborn, Seth Cooper · 2024 · International Conference on the Foundations of Digital Games (FDG)
44. Redefining the Behavior Space for Multi-Objective MAP-Elites
    Anna Nickelson, Kagan Tumer · 2024 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
45. Automating Robot Design with Multi-Level Evolution
    Geoff Nitschke, David Howard, Bilal Aslan · 2024 · IEEE Congress on Evolutionary Computation (CEC)
46. Analysis of Evolutionary Diversity Optimisation for the Maximum Matching Problem
    Jonathan Gadea Harder, Aneta Neumann, Frank Neumann · 2024 · Lecture notes in computer science
47. Evolution of Neural Networks
    Risto P Miikkulainen · 2024 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
48. Differential MAP-Elites Considering Energy Resource Management Behaviors in Power Distribution Networks
    José Almeida, Fernando Lezama, João Soares, Zita Vale · 2024 · International Conference on Intelligent System Applications to Power Systems
49. Research on tracking strategy of manipulator based on fusion reward mechanism
    Ruyi Dong, Kai Fu Yang, Tong Wang · 2025 · AIMS Electronics and Electrical Engineering
50. Using Lineage Age to Augment Search Space Exploration in Lexicase Selection
    Karen Suzue, Charles Ofria, Alexander Lalejini · 2025 · Genetic and evolutionary computation
51. A Stable Diffusion Pipeline for Diverse Procedural Painting via Text Prompts
    Tung Thanh Nguyen, Ngoc Hoang Luong · 2025 · Communications in computer and information science
52. Evolving Camouflages: A User‐Centric AI Approach for Game Aesthetics
    Rasmus Ploug, Emil Rimer, Anthon Kristian Skov Petersen, Marco Scirea, Joseph Alexander Brown · 2025 · International Journal of Computer Games Technology
53. Design and fabrication of soft locomotion robots based on spatial compliant mechanisms
    Andrija Milojević, Kyrre Glette · 2025 · Smart Materials and Structures
54. Lifelong Evolution of Swarms
    Lorenzo Leuzzi, Davide Bacciu, Sabine Hauert, Simon Jones, Andrea Cossu · 2025 · Genetic and Evolutionary Computation Conference (GECCO)
55. Interactive Evolutionary Optimization of Visual Explainable AI through Gestalt Principles with Human Feedback
    Doina Bucur, Sara Miotto, Leonardo Lucio Custode, Chiara Camilla Rambaldi Migliore, Giovanni Iacca · 2025 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
56. Cascading CMA-ES Instances for Generating Input-diverse Solution Batches
    Maria Laura Santoni, Christoph Dürr, Carola Doerr, Mike Preuß, Elena Raponi · 2025 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
57. Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners
    Ng Wen Zheng Terence, Jianda Chen, Yuan Xu, Tianwei Zhang · 2025 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
58. Generating Diverse Challenging Terrains for Legged Robots Using Quality-Diversity Algorithm
    Arthur Esquerre-Pourtère, Minsoo Kim, Jaeheung Park · 2025 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
59. MEFC: MAP-Elites-based Fuzzy Classifier Design
    Takeru Konishi, Naoki Masuyama, Yusuke Nojima · 2025 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
60. Destination-to-Chutes Task Mapping Optimization for Multi-Robot Coordination in Robotic Sorting Systems
    Yulun Zhang, Alexandre Barbosa, Federico Pecora, Jiaoyang Li · 2025 · International Symposium on Multi-Robot and Multi-Agent Systems (MRS)
61. Bitstream Evolution: An Open-Source FPGA Intrinsic Evolvable Hardware Toolkit
    Allyn Loyd, Daniel Gaull, Logan Manthey, Nicklas Carpenter, Derek Whitley, Jason A. Yoder · 2025 · IEEE Access
62. Utilizing Novelty-Based Evolution Strategies to Train Transformers in Reinforcement Learning
    Matyáš Lorenc, Roman Neruda · 2025 · IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
63. Bioengineering hybrid artificial life
    Innocent Sibanda, Geoff Nitschke · 2025 · Frontiers in Bioinformatics
64. Using genetic programming to improve data collection for offline reinforcement learning
    David Halder, Georgios Douzas, Fernando Bação · 2025 · Swarm and Evolutionary Computation
65. Motif Diversity in Human Liver ChIP-seq Data Using MAP-Elites
    Alejandro Medina, Mary Lauren Benton · 2026 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
66. Preference-Conditioned Gradient Variations for Multi-Objective Quality-Diversity
    Hannah Janmohamed, Maxence Faldor, Thomas Pierrot, Antoine Cully · 2026 · ACM Transactions on Evolutionary Learning and Optimization
67. Getting robots back on track by reconstituting control in unexpected situations with online learning
    Maxime Allard, Manon Flageat, Bryan Lim, Antoine Cully · 2026 · Nature Communications
68. Micro-Data Reinforcement Learning for Adaptive Robots
    Konstantinos I. Chatzilygeroudis · 2018 · theses.fr (ABES)
69. Accelerating Evolutionary Design Exploration with Predictive and Generative Models
    Adam Gaier · 2020 · theses.fr (ABES)
70. Data-Efficient Robot Learning using Priors from Simulators
    Rituraj Kaushik · 2020 · theses.fr (ABES)
71. Automatic Curriculum Learning for Developmental Machine Learners
    Rémy Portelas · 2022 · theses.fr (ABES)
72. Integrating motion planning into reinforcement learning to solve hard exploration problems
    Guillaume Matheron · 2020 · theses.fr (ABES)
73. Algorithms for Conditional Search Space Optimal Layout Problems
    Juliette Gamot · 2023
74. An Optimization Perspective on the Construction of Low-Discrepancy Point Sets
    François Clément · 2024
75. Learning to Grasp in Robotics with Quality-Diversity Generated Data
    J.B. Huber · 2024 · theses.fr (ABES)
76. Curiosity-driven AI for Science : Automated Discovery of Self-Organized Structures
    Mayalen Etcheverry · 2023
77. Simulation Of Diverse Human Play-Styles In Video Games : A Reinforcement Learning Approach
    Pierre Le Pelletier de Woillemont · 2023 · HAL
78. Subspaces of Policies for Deep Reinforcement Learning
    Jean-Baptiste Gaya · 2024
79. Improving Novelty Search Sample Efficiency with Models or Archive Bootstrapping
    Elias Hanna · 2024 · theses.fr (ABES)
80. Quality Diversity Time-Use Optimisation for Health
    Adel Nikfarjam, Ty Stanford, Aneta Neumann, Dorothea Dumuid, Frank Neumann · 2026 · ACM Transactions on Evolutionary Learning and Optimization
81. Quality-Diversity Optimization Meets Neuron-Centric Hebbian Learning
    Erik Nielsen, Alessandro Lorenzi, Giovanni Iacca · 2026 · Lecture notes in computer science
82. Fault Diversity in Reinforcement Learning Policy Testing
    Quentin Mazouni, Arnaud Gotlieb B, Mathieu Acher, Helge Spieker · 2026 · ACM Transactions on Software Engineering and Methodology
83. Verifier Ecology Theory: Packetized Self-Verification Under Residual Accountability
    K Takahashi · 2026 · Zenodo (CERN European Organization for Nuclear Research)
84. Evolution of Artificial Intelligence, Continued
    Lee C. Spector, Ryan Boldi, Paul Vander Vort, Niko Lorantos · 2026 · Genetic and evolutionary computation
85. Asynchronous Neuro-Evolutionary Symbolic Regression with Maturity-Based Replacement
    Jiřı́ Kubalı́k, Naďa Fučelová, Robert Babuška · 2026 · Genetic and Evolutionary Computation Conference (GECCO)
86. Search-Based Risk Feature Discovery in Document Structure Spaces under a Constrained Budget
    Saisubramaniam Gopalakrishnan, Harikrishnan P M, Dagnachew Birru · 2026 · Genetic and Evolutionary Computation Conference (GECCO)
87. Dynamic Descriptor Mutations Improve Automated Quality-Diversity
    Reece Van Der Bank, Geoff Nitschke · 2026 · Genetic and Evolutionary Computation Conference (GECCO)
88. Tips on Effective Theory and Practice of Genetic Programming
    Charles Ofria, Illya Bakurov, Wolfgang Banzhaf, Clifford Bohm, Alexander Lalejini, Nicholas Freitag McPhee · 2026 · Genetic and evolutionary computation
89. When Frequency Fitness Assignment Fails: Trapped States in Frequency-Guided Local Search
    Jiazheng Zeng, Thomas Weise, Zhize Wu, Markus Wagner · 2026 · Genetic and Evolutionary Computation Conference (GECCO)
90. Distributional Value Estimation Without Target Networks for Robust Quality-Diversity
    Behrad Koohy, Jamie Bayne · 2026 · Genetic and Evolutionary Computation Conference (GECCO)
91. LLMs for Evolutionary Optimization
    Hitoshi Iba, Joao E. Batista, Jinglue Xu · 2026 · Natural computing series
92. Efficient and scalable expansion of property limits via novelty-guided exploration
    Satoru Fujii, Ryo Tamura, Masato Sumita, Kei Terayama · 2026 · Digital Discovery
93. Adaptive Scoring-and-Memory Policies for Repair Intensification in the Multi-Demand Multidimensional Knapsack Problem: A Comparative Analysis of Solution Quality and Trajectory Diversity
    Paola Moraga, Luis Rojas, Hernán Pinto, Emanuel Vega, José García · 2026 · Mathematics
94. Range-aware Bayesian optimization for discovering diverse designs within target property windows
    Shengli Jiang, Jason Wu, Charles M. Schroeder, Michael A. Webb · 2026 · Digital Discovery
95. Модели автоматической генерации учебных заданий: сравнительный обзор
    Дмитрий Сергеевич Бутенко · 2026 · Computer Tools in Education
96. A Practical View on Procedural Generation: Benefits, Capabilities, and Usability
    Robert Andrei Caragicu, Anca Morar, Alin Dragos Bogdan Moldoveanu, Victor Asavei · 2026 · IEEE Access
97. Quality Diversity for Reliable Data Driven Time-Use Optimization
    Aneta Neumann, Ty Stanford, Dorothea Dumuid, Frank Neumann · 2026 · Lecture notes in computer science
98. Improving NEAT for Constrained Workload Scheduling via Adaptive Dual-Space Neuroevolution (NEADS)
    Dimitar Lyubchev, Angel Marchev · 2026 · International Conference on Electrical, Computer and Energy Technologies (ICECET)
99. BiasQD-DT: Creating Interpretable Trade-Offs in Classifier Bias with Quality-Diversity Optimization via Decision Trees
    Catalina M. Jaramillo, Megan Charity, Julian Togelius · 2026 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
100. Free Lunches for Exploration
     Erik J Peterson · 2026 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)