Tournament Informed Adversarial Quality Diversity
Fuente:
arXiv
Saved in:
| Main Authors: | Anne, Timothée, Syrkis, Noah, Elhosni, Meriem, Turati, Florian, Manai, Alexandre, Legendre, Franck, Jaquier, Alain, Risi, Sebastian |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites
by: Anne, Timothée, et al.
Published: (2025)
by: Anne, Timothée, et al.
Published: (2025)
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control
by: Anne, Timothée, et al.
Published: (2024)
by: Anne, Timothée, et al.
Published: (2024)
Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity
by: Nisioti, Eleni, et al.
Published: (2024)
by: Nisioti, Eleni, et al.
Published: (2024)
Smart Cellular Bricks for Decentralized Shape Classification and Damage Recovery
by: Moreno, Rodrigo, et al.
Published: (2025)
by: Moreno, Rodrigo, et al.
Published: (2025)
DelRec: learning delays in recurrent spiking neural networks
by: Queant, Alexandre, et al.
Published: (2025)
by: Queant, Alexandre, et al.
Published: (2025)
Digital Red Queen: Adversarial Program Evolution in Core War with LLMs
by: Kumar, Akarsh, et al.
Published: (2026)
by: Kumar, Akarsh, et al.
Published: (2026)
Meta-Learning an Evolvable Developmental Encoding
by: Montero, Milton L., et al.
Published: (2024)
by: Montero, Milton L., et al.
Published: (2024)
Parametric-Task MAP-Elites
by: Anne, Timothée, et al.
Published: (2024)
by: Anne, Timothée, et al.
Published: (2024)
Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection
by: Geiger, Alina, et al.
Published: (2025)
by: Geiger, Alina, et al.
Published: (2025)
Towards Exploratory Quality Diversity Landscape Analysis
by: Mosphilis, Kyriacos, et al.
Published: (2024)
by: Mosphilis, Kyriacos, et al.
Published: (2024)
Quality Diversity Genetic Programming for Learning Scheduling Heuristics
by: Xu, Meng, et al.
Published: (2025)
by: Xu, Meng, et al.
Published: (2025)
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
by: Qian, Chao, et al.
Published: (2024)
by: Qian, Chao, et al.
Published: (2024)
Exploring the Performance-Reproducibility Trade-off in Quality-Diversity
by: Flageat, Manon, et al.
Published: (2024)
by: Flageat, Manon, et al.
Published: (2024)
Brain-inspired Computational Modeling of Action Recognition with Recurrent Spiking Neural Networks Equipped with Reinforcement Delay Learning
by: Nadafian, Alireza, et al.
Published: (2024)
by: Nadafian, Alireza, et al.
Published: (2024)
Discrete Gene Crossover Accelerates Solution Discovery in Quality-Diversity Algorithms
by: Hutchinson, Joshua, et al.
Published: (2026)
by: Hutchinson, Joshua, et al.
Published: (2026)
QED: using Quality-Environment-Diversity to evolve resilient robot swarms
by: Bossens, David M., et al.
Published: (2020)
by: Bossens, David M., et al.
Published: (2020)
Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity
by: Faldor, Maxence, et al.
Published: (2024)
by: Faldor, Maxence, et al.
Published: (2024)
Generating Diverse Challenging Terrains for Legged Robots Using Quality-Diversity Algorithm
by: Esquerre-Pourtère, Arthur, et al.
Published: (2025)
by: Esquerre-Pourtère, Arthur, et al.
Published: (2025)
Balancing Pareto Front exploration of Non-dominated Tournament Genetic Algorithm (B-NTGA) in solving multi-objective NP-hard problems with constraints
by: Antkiewicz, Michał, et al.
Published: (2024)
by: Antkiewicz, Michał, et al.
Published: (2024)
Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains
by: Flageat, Manon, et al.
Published: (2025)
by: Flageat, Manon, et al.
Published: (2025)
Few-shot Quality-Diversity Optimization
by: Salehi, Achkan, et al.
Published: (2021)
by: Salehi, Achkan, et al.
Published: (2021)
Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity
by: Coiffard, Lisa, et al.
Published: (2025)
by: Coiffard, Lisa, et al.
Published: (2025)
Exploring Definitions of Quality and Diversity in Sonic Measurement Spaces
by: Jónsson, Björn Þór, et al.
Published: (2025)
by: Jónsson, Björn Þór, et al.
Published: (2025)
Quality with Just Enough Diversity in Evolutionary Policy Search
by: Templier, Paul, et al.
Published: (2024)
by: Templier, Paul, et al.
Published: (2024)
Evolving Self-Assembling Neural Networks: From Spontaneous Activity to Experience-Dependent Learning
by: Plantec, Erwan, et al.
Published: (2024)
by: Plantec, Erwan, et al.
Published: (2024)
Learning in Spiking Neural Networks with a Calcium-based Hebbian Rule for Spike-timing-dependent Plasticity
by: Girão, Willian Soares, et al.
Published: (2025)
by: Girão, Willian Soares, et al.
Published: (2025)
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics
by: Hy, Truong Son, et al.
Published: (2024)
by: Hy, Truong Son, et al.
Published: (2024)
Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm
by: Jaiswal, Risi, et al.
Published: (2025)
by: Jaiswal, Risi, et al.
Published: (2025)
Soft Quality-Diversity Optimization
by: Hedayatian, Saeed, et al.
Published: (2025)
by: Hedayatian, Saeed, et al.
Published: (2025)
Quality-Diversity with Limited Resources
by: Wang, Ren-Jian, et al.
Published: (2024)
by: Wang, Ren-Jian, et al.
Published: (2024)
Dynamic Quality-Diversity Search
by: Gallotta, Roberto, et al.
Published: (2024)
by: Gallotta, Roberto, et al.
Published: (2024)
Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings
by: Nair, Anirudh, et al.
Published: (2025)
by: Nair, Anirudh, et al.
Published: (2025)
Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
by: Xue, Peng, et al.
Published: (2025)
by: Xue, Peng, et al.
Published: (2025)
Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
by: Che, Kaiwei, et al.
Published: (2024)
by: Che, Kaiwei, et al.
Published: (2024)
Hypernetworks That Evolve Themselves
by: Pedersen, Joachim Winther, et al.
Published: (2025)
by: Pedersen, Joachim Winther, et al.
Published: (2025)
Evolving Assembly Code in an Adversarial Environment
by: Maliukov, Irina, et al.
Published: (2024)
by: Maliukov, Irina, et al.
Published: (2024)
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
by: Ding, Li, et al.
Published: (2023)
by: Ding, Li, et al.
Published: (2023)
When Does Structure Matter in Continual Learning? Dimensionality Controls When Modularity Shapes Representational Geometry
by: Korte, Kathrin, et al.
Published: (2026)
by: Korte, Kathrin, et al.
Published: (2026)
Diversity-Preserving Exploitation of Crossover
by: Lengler, Johannes, et al.
Published: (2025)
by: Lengler, Johannes, et al.
Published: (2025)
Overcoming Binary Adversarial Optimisation with Competitive Coevolution
by: Lehre, Per Kristian, et al.
Published: (2024)
by: Lehre, Per Kristian, et al.
Published: (2024)
Similar Items
-
Adversarial Coevolutionary Illumination with Generational Adversarial MAP-Elites
by: Anne, Timothée, et al.
Published: (2025) -
Harnessing Language for Coordination: A Framework and Benchmark for LLM-Driven Multi-Agent Control
by: Anne, Timothée, et al.
Published: (2024) -
Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity
by: Nisioti, Eleni, et al.
Published: (2024) -
Smart Cellular Bricks for Decentralized Shape Classification and Damage Recovery
by: Moreno, Rodrigo, et al.
Published: (2025) -
DelRec: learning delays in recurrent spiking neural networks
by: Queant, Alexandre, et al.
Published: (2025)