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With the development of fast and massively parallel evaluations in many domains, Quality-Diversity (QD) algorithms, that already proved promising in a large range of applications, have seen their potential multiplied.
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Vassilis Vassiliades and Jean-Baptiste Mouret. 2018 · 2018
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Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems
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Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains
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Scaling map-elites to deep neuroevolution. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference . 67–75
Cédric Colas, Vashisht Madhavan, Joost Huizinga, and Jeff Clune. 2020 · 2020
Cited alongside, same era.
Fast and stable MAP-Elites in noisy domains using deep grids. In Artificial Life Conference Proceedings 32 . MIT Press One Rogers Street, Cambridge, MA 02142-1209, USA journals-info …, 273–282
Manon Flageat and Antoine Cully. 2020 · 2020
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Covariance matrix adaptation for the rapid illumination of behavior space. In Proceedings of the 2020 genetic and evolutionary computation conference . 94–102
Matthew C Fontaine, Julian Togelius, Stefanos Nikolaidis, and Amy K Hoover. 2020 · 2020
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Discovering representations for black-box optimization. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference . 103–111
Adam Gaier, Alexander Asteroth, and Jean-Baptiste Mouret. 2020 · 2020
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Multi-emitter map-elites: improving quality, diversity and data efficiency with heterogeneous sets of emitters. In Proceedings of the Genetic and Evolutionary Computation Conference . 84–92
Antoine Cully. 2021 · 2021
Cited alongside, same era.
First return, then explore
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O Stanley, and Jeff Clune. 2021 · 2021
Cited alongside, same era.
Differentiable Quality Diversity
Matthew Fontaine and Stefanos Nikolaidis. 2021 · 2021
Cited alongside, same era.
Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation
C. Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, Igor Mordatch, and Olivier Bachem. 2021 · 2021
Cited alongside, same era.
Thomas Pierrot, Valentin Macé, Felix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, and Nicolas Perrin-Gilbert. 2022 · 2022
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EvoJAX: Hardware-Accelerated Neuroevolution
Yujin Tang, Yingtao Tian, and David Ha. 2022 · 2022
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Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing
Bryon Tjanaka, Matthew C Fontaine, Aniruddha Kalkar, and Stefanos Nikolaidis. 2022a · 2022
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Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning
Bryon Tjanaka, Matthew C Fontaine, Julian Togelius, and Stefanos Nikolaidis. 2022b · 2022
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Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Vincent Coyette, Paul Duckworth, Laurence I. Midgley, Tristan Kalloniatis, Sasha Abramowitz, Cemlyn N. Waters, Andries P. Smit, Nathan Grinsztajn, Ulrich A. Mbou Sob, Omayma Mahjoub, Elshadai Tegegn, Mohamed A. Mimouni, Raphael Boige, Ruan de Kock, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, and Alexandre Laterre. 2023 · 2023
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QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration
Felix Chalumeau, Bryan Lim, Raphael Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, and Antoine Cully. 2023 · 2023
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Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains
Manon Flageat, Felix Chalumeau, and Antoine Cully. 2023 · 2023
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Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains
Manon Flageat and Antoine Cully. 2023 · 2023
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minimax: Efficient Baselines for Autocurricula in JAX
Minqi Jiang, Michael Dennis, Edward Grefenstette, and Tim Rocktäschel. 2023 · 2023
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JaxMARL: Multi-Agent RL Environments in JAX
Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Gardar Ingvarsson, Timon Willi, Akbir Khan, Christian Schroeder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktaschel, Chris Lu, and Jakob Nicolaus Foerster. 2023 · 2023
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