Antoine Cully

CoRR, 2024

Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Editorial to the "Evolutionary Reinforcement Learning" Special Issue.

[BibT_eX]

[DOI]

Adam Gaier

Giuseppe Paolo

ACM Trans. Evol. Learn. Optim., September, 2023

Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity.

[BibT_eX]

[DOI]

Maxime Allard

Simón C. Smith

ACM Trans. Evol. Learn. Optim., June, 2023

Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains.

[BibT_eX]

[DOI]

Félix Chalumeau

ACM Trans. Evol. Learn. Optim., March, 2023

Accelerated Quality-Diversity through Massive Parallelism.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Mix-ME: Quality-Diversity for Multi-Agent Learning.

[BibT_eX]

[DOI]

CoRR, 2023

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration.

[BibT_eX]

[DOI]

CoRR, 2023

Multiple Hands Make Light Work: Enhancing Quality and Diversity using MAP-Elites with Multiple Parallel Evolution Strategies.

[BibT_eX]

[DOI]

CoRR, 2023

Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains.

[BibT_eX]

[DOI]

CoRR, 2023

Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition.

[BibT_eX]

[DOI]

Shubham Jain

Ana-Maria Cretu

Yves-Alexandre de Montjoye

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors.

[BibT_eX]

[DOI]

Shikha Surana

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration.

[BibT_eX]

[DOI]

Hannah Janmohamed

Thomas Pierrot

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Kheperax: a Lightweight JAX-based Robot Control Environment for Benchmarking Quality-Diversity Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Quality-Diversity Optimization.

[BibT_eX]

[DOI]

Stéphane Doncieux

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Unsupervised Behavior Discovery With Quality-Diversity Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Discovering Unsupervised Behaviours from Full-State Trajectories.

[BibT_eX]

[DOI]

CoRR, 2022

Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems.

[BibT_eX]

[DOI]

Nicolas Perrin-Gilbert

CoRR, 2022

Efficient Exploration using Model-Based Quality-Diversity with Gradients.

[BibT_eX]

[DOI]

CoRR, 2022

Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Accelerated Quality-Diversity for Robotics through Massive Parallelism.

[BibT_eX]

[DOI]

CoRR, 2022

Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Multi-objective quality diversity optimization.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Diversity policy gradient for sample efficient quality-diversity optimization.

[BibT_eX]

[DOI]

Nicolas Perrin-Gilbert

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Learning to walk autonomously via reset-free quality-diversity.

[BibT_eX]

[DOI]

Alexander Reichenbach

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

QDax: on the benefits of massive parallelization for quality-diversity.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Relevance-guided unsupervised discovery of abilities with quality-diversity algorithms.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Quality-diversity optimisation.

[BibT_eX]

[DOI]

Stéphane Doncieux

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Hierarchical quality-diversity for online damage recovery.

[BibT_eX]

[DOI]

Maxime Allard

Simón C. Smith

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems.

[BibT_eX]

[DOI]

Ana-Maria Cretu

Florimond Houssiau

Yves-Alexandre de Montjoye

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Unsupervised Behaviour Discovery with Quality-Diversity Optimisation.

[BibT_eX]

[DOI]

CoRR, 2021

On the Just-In-Time Discovery of Profit-Generating Transactions in DeFi Protocols.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Policy manifold search: exploring the manifold hypothesis for diversity-based neuroevolution.

[BibT_eX]

[DOI]

Nemanja Rakicevic

Petar Kormushev

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Policy gradient assisted MAP-Elites.

[BibT_eX]

[DOI]

Olle Nilsson

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Multi-emitter MAP-elites: improving quality, diversity and data efficiency with heterogeneous sets of emitters.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Online Knowledge Level Tracking with Data-Driven Student Models and Collaborative Filtering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Multimodal representation models for prediction and control from partial information.

[BibT_eX]

[DOI]

Martina Zambelli

Robotics Auton. Syst., 2020

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities.

[BibT_eX]

[DOI]

Frontiers Big Data, 2020

Policy Manifold Search for Improving Diversity-based Neuroevolution.

[BibT_eX]

[DOI]

Nemanja Rakicevic

Petar Kormushev

CoRR, 2020

Quality-Diversity Optimization: a novel branch of stochastic optimization.

[BibT_eX]

[DOI]

Vassilis Vassiliades

CoRR, 2020

Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations.

[BibT_eX]

[DOI]

Szymon Brych

CoRR, 2020

Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters.

[BibT_eX]

[DOI]

CoRR, 2020

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.

[BibT_eX]

[DOI]

Artif. Life, 2020

Fast and stable MAP-Elites in noisy domains using deep grids.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Artificial Life, 2020

2019

Probabilistic Real-Time User Posture Tracking for Personalized Robot-Assisted Dressing.

[BibT_eX]

[DOI]

Fan Zhang

IEEE Trans. Robotics, 2019

Autonomous skill discovery with quality-diversity and unsupervised descriptors.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

AlphaStar: an evolutionary computation perspective.

[BibT_eX]

[DOI]

Kai Arulkumaran

Julian Togelius

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Quality and Diversity Optimization: A Unifying Modular Framework.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2018

Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization.

[BibT_eX]

[DOI]

Federico Allocati

J. Open Source Softw., 2018

Hierarchical behavioral repertoires with unsupervised descriptors.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

MAGAN: Margin Adaptation for Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Personalized robot-assisted dressing using user modeling in latent spaces.

[BibT_eX]

[DOI]

Fan Zhang

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Evolving a Behavioral Repertoire for a Walking Robot.

[BibT_eX]

[DOI]

Evol. Comput., 2016

Limbo: A Fast and Flexible Library for Bayesian Optimization.

[BibT_eX]

[DOI]

Federico Allocati

CoRR, 2016

Towards semi-episodic learning for robot damage recovery.

[BibT_eX]

[DOI]

CoRR, 2016

How do Different Encodings Influence the Performance of the MAP-Elites Algorithm?

[BibT_eX]

[DOI]

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015

Creative Adaptation through Learning. (Adaptation Créative par Apprentissage).

[BibT_eX]

[DOI]

PhD thesis, 2015

Robots that can adapt like animals.

[BibT_eX]

[DOI]

Nat., 2015

Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approach.

[BibT_eX]

[DOI]

Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

2014

Robots that can adapt like natural animals.

[BibT_eX]

[DOI]

Jeff Clune

CoRR, 2014

Abstract of: "Fast Damage Recovery in Robotics with the T-Resilience Algorithm".

[BibT_eX]

[DOI]

Sylvain Koos

Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014

Learning to Walk in Every Direction with the TBR-Learning algorithm.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on the Simulation and Synthesis of Living Systems, 2014

2013

Fast damage recovery in robotics with the T-resilience algorithm.

[BibT_eX]

[DOI]

Sylvain Koos

Int. J. Robotics Res., 2013

Learning to Walk in Every Direction.

[BibT_eX]

[DOI]

CoRR, 2013

High resilience in robotics with a multi-objective evolutionary algorithm.

[BibT_eX]

[DOI]

Sylvain Koos

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Behavioral repertoire learning in robotics.

[BibT_eX]

[DOI]