A Coach-Based Quality-Diversity Approach for Multi-agent Interpretable Reinforcement Learning

Created by W.Langdon from gp-bibliography.bib Revision:1.8620

@InProceedings{Nielsen:2025:evoapplications,

• author = "Erik Nielsen and Andrea Ferigo and Giovanni Iacca",
• title = "A Coach-Based Quality-Diversity Approach for Multi-agent Interpretable Reinforcement Learning",
• booktitle = "28th International Conference, EvoApplications 2025",
• year = "2025",
• editor = "Pablo Garcia-Sanchez and Emma Hart and Sarah L. Thomson",
• series = "LNCS",
• volume = "15612",
• pages = "402--418",
• publisher = "Springer",
• address = "Trieste, Italy",
• month = "3-5 " # apr,
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, MAP-Elites, Quality-Diversity, Multi-Agent Reinforcement Learning, Explainability, Interpretability, XAI",
• isbn13 = "978-3-031-90062-4",
• timestamp = "Sat, 31 May 2025 23:09:36 +0200",
• biburl = "https://dblp.org/rec/conf/evoapps/NielsenFI25.bib",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• DOI = "10.1007/978-3-031-90062-4_25",
• notes = "DBLP:conf/evoapps/NielsenFI25,

  http://www.evostar.org/2025/ EvoApplications2025 held in conjunction with EuroGP'2025, EvoCOP2025 and EvoMusArt2025",

}

Genetic Programming entries for Erik Nielsen Andrea Ferigo Giovanni Iacca

Citations