Výsledky vyhľadávania - "Quality-Diversity"

Diversity in Reinforcement Learning Through the Occupancy Measure

Autori: Arno Feiden Jochen Garcke

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference. :1235-1245

Predmety: quality-diversity, robotics, reinforcement learning, unsupervised machine learning

Bayesian Optimization for Quality Diversity Search With Coupled Descriptor Functions

Autori: Paul Kent Adam Gaier Jean-Baptiste Mouret a ďalší

Prispievatelia: Paul Kent Adam Gaier Jean-Baptiste Mouret a ďalší

Zdroj: IEEE Transactions on Evolutionary Computation. 29:302-316

Predmety: [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], Quality-Diversity, Bayesian Optimisation, [INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering

Popis súboru: application/pdf

Prístupová URL adresa: https://inria.hal.science/hal-04537563v1/document
https://inria.hal.science/hal-04537563v1
https://doi.org/10.1109/tevc.2024.3376733

Quality Diversity under Sparse Interaction and Sparse Reward: Application to Grasping in Robotics

Autori: Huber, Johann Hélénon, François Coninx, Miranda a ďalší

Prispievatelia: Huber, Johann Hélénon, François Coninx, Miranda a ďalší

Zdroj: Evolutionary Computation. :1-30

Predmety: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Evolutionary robotics, Quality diversity Sparse reward Sparse behavior Grasping Evolutionary robotics, Grasping, Quality diversity, Sparse behavior, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], Sparse reward

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-04719545v1
https://doi.org/10.1162/evco_a_00363
https://hal.science/hal-04719545v1/document

The Role of the Substrate in CA-based Evolutionary Algorithms

Autori: Gloria Pietropolli Stefano Nichele Eric Medvet a ďalší

Prispievatelia: Gloria Pietropolli Stefano Nichele Eric Medvet a ďalší

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference. :768-777

Predmety: quality-diversity, Cellulara automata, multi-objective optimization, multi-modal optimization, symbolic regression

Prístupová URL adresa: https://dl.acm.org/doi/10.1145/3638529.3654112
https://hdl.handle.net/11368/3084238

Searching for a Diversity of Interpretable Graph Control Policies

Autori: Giorgia Nadizar Eric Medvet Dennis Wilson a ďalší

Prispievatelia: Giorgia Nadizar Eric Medvet Dennis Wilson a ďalší

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference. :933-941

Predmety: Graph-based Genetic Programming, Cartesian Genetic Programming, Quality-Diversity, MAP-Elites, Interpretable Policy, Continuous Control, MAP-Elite

Popis súboru: application/pdf

Prístupová URL adresa: https://dl.acm.org/doi/10.1145/3638529.3653987
https://hdl.handle.net/11368/3084239

Parametric-Task MAP-Elites

Autori: Timothée Anne Jean-Baptiste Mouret ANNE, Timothée

Prispievatelia: Timothée Anne Jean-Baptiste Mouret ANNE, Timothée

Zdroj: Proceedings of the Genetic and Evolutionary Computation Conference. :68-77

Predmety: MAP-Elites, FOS: Computer and information sciences, Computer Science - Machine Learning, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 02 engineering and technology, Quality-Diversity, [INFO] Computer Science [cs], Multi-Task Learning, Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2402.01275
https://hal.science/hal-04532964v1/document
https://doi.org/10.1145/3638529.3653993
https://hal.science/hal-04532964v1

The Role of Stepping Stones in MAP-Elites: Insights from Search Trajectory Networks

Autori: Giorgia Nadizar Francesco Rusin Eric Medvet a ďalší

Prispievatelia: Giorgia Nadizar Francesco Rusin Eric Medvet a ďalší

Zdroj: Lecture Notes in Computer Science ISBN: 9783031899904

Predmety: Search Trajectory Network, Genetic Programming, MAP-Elite, Quality-Diversity, Stepping Stones, MAP-Elites, Search Trajectory Networks, Neuroevolution

Popis súboru: application/pdf

Prístupová URL adresa: https://link.springer.com/chapter/10.1007/978-3-031-89991-1_14
https://hdl.handle.net/11368/3108580
https://link.springer.com/chapter/10.1007/978-3-031-89991-1_14
https://hdl.handle.net/11368/3108580
https://doi.org/10.1007/978-3-031-89991-1_14

Landslide Susceptibility Assessment via Imbalanced Data Augmentation with Tabular Variational Autoencoder and Quality–Diversity Post-Selection

Autori: Zhengyang Xu Shitai Wang Min Yin a ďalší

Zdroj: Applied Sciences, Vol 15, Iss 22, p 11965 (2025)

Predmety: landslide susceptibility, risk assessment, class imbalance, data augmentation, Tabular Variational Autoencoder, quality–diversity, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/22/11965; https://doaj.org/toc/2076-3417

Prístupová URL adresa: https://doaj.org/article/8011e17a650b45bbbd7e5af7469f76c2

Quality–diversity optimization of decision trees for interpretable reinforcement learning

Autori: Ferigo, Andrea Custode, Leonardo Lucio Iacca, Giovanni

Zdroj: Neural Computing and Applications

Predmety: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Decision trees, Explainability, Quality–diversity optimization, Reinforcement learning

Popis súboru: application/pdf

Prístupová URL adresa: https://link.springer.com/article/10.1007/s00521-023-09124-5#Fun
https://doi.org/10.1007/s00521-023-09124-5
https://hdl.handle.net/11572/397769

Full Domain Analysis in Fluid Dynamics

Autori: Alexander Hagg Adam Gaier Dominik Wilde a ďalší

Zdroj: Machine Learning and Knowledge Extraction, Vol 7, Iss 3, p 86 (2025)

Predmety: domain analysis, encodings, quality–diversity optimization, surrogate models, generative artificial intelligence, Computer engineering. Computer hardware, TK7885-7895

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2504-4990/7/3/86; https://doaj.org/toc/2504-4990

Prístupová URL adresa: https://doaj.org/article/470fe1f7ca82400497dc7ed73466cac7

Quality Diversity Optimization Method for Bilinear Matrix Inequality Problems in Control System Design

Autori: Shiuan-Yeh Chen Wei-Yu Chiu Chien-Feng Wu

Zdroj: IEEE Access, Vol 11, Pp 77371-77384 (2023)

Predmety: Bilinear matrix inequality (BMI), spectral abscissa optimization, quality diversity optimization method (QDOM), BMI solution methods, Electrical engineering. Electronics. Nuclear engineering, quality diversity (QD), novelty search (NS), TK1-9971

Prístupová URL adresa: https://doaj.org/article/1aec97e982f74a5ab2dfe18fcc94f182

Enhancing Quality-Diversity Optimization Through Domain-Specific Dissimilarity as Crowding Distance

Autori: Komosinski, Maciej Mensfelt, Agnieszka

Zdroj: Komosinski, M & Mensfelt, A 2025, Enhancing Quality-Diversity Optimization Through Domain-Specific Dissimilarity as Crowding Distance. in Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '25, Association for Computing Machinery, New York, NY, USA, pp. 898–906. https://doi.org/10.1145/3712256.3726459

Predmety: evolutionary design, quality-diversity algorithms, NSGA-II

Popis súboru: application/pdf

Relation: info:eu-repo/semantics/altIdentifier/isbn/9798400714658; urn:ISBN:9798400714658

Dostupnosť: https://rhul.elsevierpure.com/en/publications/ebbe555b-2639-4c24-991d-3688c6e625a6
https://doi.org/10.1145/3712256.3726459
https://pure.royalholloway.ac.uk/ws/files/68012630/Accepted_Manuscript.pdf

Quality Diversity Evolutionary Learning of Decision Trees

Autori: Andrea Ferigo Leonardo Lucio Custode Giovanni Iacca

Zdroj: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing. :425-432

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, 02 engineering and technology, Neural and Evolutionary Computing (cs.NE), decision trees, explainability, grammatical evolution, quality diversity, reinforcement learning, Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2208.12758
https://dl.acm.org/doi/10.1145/3555776.3577591
https://hdl.handle.net/11572/352865
https://doi.org/10.1145/3555776.3577591

Exploring the Expressive Space of an Articulatory Vocal Modal using Quality-Diversity Optimization with Multimodal Embeddings

Autori: Grouwels, Joris Jonason, Nicolas Sturm, Bob

Zdroj: GECCO 2025 - Proceedings of the 2025 Genetic and Evolutionary Computation Conference. :1362-1370

Predmety: articulatory vocal model, CLAP, CMA-MAE, diversity optimization, multimodal, quality-diversity, text prompt, VocalTractLab

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-369365

A General-Purpose Expressive Algorithm for Room-Based Environments

Autori: Konstantinos Sfikas Antonios Liapis Georgios N. Yannakakis

Zdroj: FDG ’22: Proceedings of the 17th International Conference on the Foundations of Digital Games
Proceedings of the 17th International Conference on the Foundations of Digital Games

Predmety: level generation, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, evolutionary algorithms, controllability, constrained optimization, quality diversity search

Finding Near-Optimal Portfolios with Quality-Diversity

Autori: Jakobović, Domagoj Đurasević, Marko Gašperov, Bruno

Zdroj: Lecture Notes in Computer Science ISBN: 9783031568510

Predmety: Quantitative Finance - Computational Finance, quality-diversity \and illumination algorithm \and MAP-Elites \and portfolio optimization \and near-optimal portfolios, Quantitative Finance - Portfolio Management

Prístupová URL adresa: http://arxiv.org/abs/2402.16118

Disruption‑Driven Open‑Ended Intelligence (DD‑OEI): A Reset‑Gated, Self‑Rewriting Framework for AGI

Autori: margolin, ido

Predmety: Open-ended intelligence, disruption-driven learning, reset-gated learning, neuromodulatory reset, Locus Coeruleus (LC), self-rewriting objective, adaptive loss composition, meta-learning, quality-diversity (QD), novelty search, competence progress (CP-AUC), continual learning, OOD generalization, stability–plasticity, EWC, InfoNCE, orthogonality regularization, environment/task mutation, representation learning, tokenization refresh, micro-resets (FER), dimmer reset (PDR), safety and governance, policy linter, audit trail, Environmental Nexus Interface (ENI), Bio-Photonic Metabolism (BPM), Temporal Duality (TDC), Distributed Shadow-Substrate (DSS), Dual-Radical Mirror (DRM), Vagus-Link Integrator (VLI), Appendix Backup Memory (ABM), Embodied Spatial Duality (ESD), Capacity–Emptiness Dynamics (CED)

MAP-Elites with Transverse Assessment for Multimodal Problems in Creative Domains

Autori: Zammit, Marvin orcid:0000-0003-2728- Liapis, Antonios a ďalší

Predmety: MAP-Elites, Quality Diversity, Image Generation, Text Generation, Text-to-image Generation, Digital Games

Relation: https://zenodo.org/communities/ai4media/; https://zenodo.org/communities/eu/; https://zenodo.org/records/11145009; oai:zenodo.org:11145009

Dostupnosť: https://doi.org/10.1007/978-3-031-56992-0_26
https://zenodo.org/records/11145009

Quality/Diversity Approaches for Structural Optimization of Bridges

Abordagens de Qualidade/Diversidade para Optimização Estrutural de Pontes

Autori: Fernandes, Gabriel Mendes

Predmety: Otimização estrutural de Pontes de Tirantes, Algoritmos Evolucionários, Qualidade/Diversidade, Structural optimization of Cable-Stayed Bridges, Evolutionary Algorithms, Quality Diversity

Dostupnosť: https://hdl.handle.net/10316/107834

Promoting Behavioral Diversity via Multi-Objective/Quality-Diversity Novelty Producing Synaptic Plasticity

Autori: Bizzotto, Edoardo Yaman, Anil Iacca, Giovanni

Zdroj: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). :01-08

Predmety: Measurement, Navigation, Diversity reception, Reinforcement learning, Search problems, Sensors, Task analysis, Hebbian Learning, MAP-Elites, Neuroevolution, NSGA2, Quality-Diversity, Synaptic Plasticity

Popis súboru: application/pdf