default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAntoine Cully
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j18]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Guillaume Richard, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. J. Mach. Learn. Res. 25: 108:1-108:16 (2024)- [j17]Manon Flageat
, Antoine Cully:
Uncertain Quality-Diversity: Evaluation Methodology and New Methods for Quality-Diversity in Uncertain Domains. IEEE Trans. Evol. Comput. 28(4): 891-902 (2024) - [c45]Manon Flageat, Bryan Lim, Antoine Cully:
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms. AAAI 2024: 12024-12032 - [c44]Paul Templier, Emmanuel Rachelson, Antoine Cully, Dennis G. Wilson:
Genetic Drift Regularization: On Preventing Actor Injection from Breaking Evolution Strategies. CEC 2024: 1-9 - [c43]Manon Flageat, Bryan Lim, Antoine Cully:
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies. GECCO 2024 - [c42]Manon Flageat, Bryan Lim, Antoine Cully:
Evolutionary Reinforcement Learning. GECCO Companion 2024: 856-882 - [c41]Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully:
Multi-Objective Quality-Diversity for Crystal Structure Prediction. GECCO 2024 - [c40]Paul Templier, Luca Grillotti, Emmanuel Rachelson, Dennis Wilson, Antoine Cully:
Quality with Just Enough Diversity in Evolutionary Policy Search. GECCO 2024 - [c39]Luca Grillotti, Maxence Faldor, Borja G. León, Antoine Cully:
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics. ICML 2024 - [i59]Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully:
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning. CoRR abs/2401.08632 (2024) - [i58]Marta Wolinska, Aron Walsh, Antoine Cully:
Illuminating the property space in crystal structure prediction using Quality-Diversity algorithms. CoRR abs/2403.03511 (2024) - [i57]Luca Grillotti, Maxence Faldor, Borja G. León, Antoine Cully:
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics. CoRR abs/2403.09930 (2024) - [i56]Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully:
Multi-Objective Quality-Diversity for Crystal Structure Prediction. CoRR abs/2403.17164 (2024) - [i55]Bryan Lim, Manon Flageat, Antoine Cully:
Large Language Models as In-context AI Generators for Quality-Diversity. CoRR abs/2404.15794 (2024) - [i54]Paul Templier, Luca Grillotti, Emmanuel Rachelson, Dennis G. Wilson, Antoine Cully:
Quality with Just Enough Diversity in Evolutionary Policy Search. CoRR abs/2405.04308 (2024) - [i53]Paul Templier, Emmanuel Rachelson, Antoine Cully, Dennis G. Wilson:
Genetic Drift Regularization: on preventing Actor Injection from breaking Evolution Strategies. CoRR abs/2405.04322 (2024) - [i52]Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune:
OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code. CoRR abs/2405.15568 (2024) - [i51]Maxence Faldor, Antoine Cully:
Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity. CoRR abs/2406.04235 (2024) - [i50]Manon Flageat, Hannah Janmohamed, Bryan Lim, Antoine Cully:
Exploring the Performance-Reproducibility Trade-off in Quality-Diversity. CoRR abs/2409.13315 (2024) - [i49]Maxence Faldor, Antoine Cully:
CAX: Cellular Automata Accelerated in JAX. CoRR abs/2410.02651 (2024) - 2023
- [j16]Manon Flageat, Félix Chalumeau, Antoine Cully:
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. ACM Trans. Evol. Learn. Optim. 3(1): 1:1-1:32 (2023) - [j15]Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Bryan Lim, Antoine Cully:
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. ACM Trans. Evol. Learn. Optim. 3(2): 6:1-6:23 (2023) - [j14]Adam Gaier, Giuseppe Paolo, Antoine Cully:
Editorial to the "Evolutionary Reinforcement Learning" Special Issue. ACM Trans. Evol. Learn. Optim. 3(3): 9:1-9:2 (2023) - [j13]Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully:
Accelerated Quality-Diversity through Massive Parallelism. Trans. Mach. Learn. Res. 2023 (2023) - [c38]Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully:
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. GECCO 2023: 119-128 - [c37]Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully:
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. GECCO 2023: 138-146 - [c36]Luca Grillotti, Manon Flageat, Bryan Lim, Antoine Cully:
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains. GECCO 2023: 156-164 - [c35]Hannah Janmohamed, Thomas Pierrot, Antoine Cully:
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. GECCO 2023: 165-173 - [c34]Simón C. Smith, Bryan Lim, Hannah Janmohamed, Antoine Cully:
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. GECCO Companion 2023: 171-174 - [c33]Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux:
Quality-Diversity Optimization. GECCO Companion 2023: 913-937 - [c32]Bryan Lim, Manon Flageat, Antoine Cully:
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning. GECCO 2023: 1212-1220 - [c31]Manon Flageat, Luca Grillotti, Antoine Cully:
Benchmark Tasks for Quality-Diversity Applied to Uncertain Domains. GECCO Companion 2023: 2157-2162 - [c30]Luca Grillotti, Antoine Cully:
Kheperax: a Lightweight JAX-based Robot Control Environment for Benchmarking Quality-Diversity Algorithms. GECCO Companion 2023: 2163-2165 - [c29]Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot:
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. ICLR 2023 - [c28]Shikha Surana, Bryan Lim, Antoine Cully:
Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors. ICRA 2023: 12134-12141 - [c27]Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye:
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. SP 2023: 234-252 - [i48]Manon Flageat, Antoine Cully:
Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains. CoRR abs/2302.00463 (2023) - [i47]Hannah Janmohamed, Thomas Pierrot, Antoine Cully:
Improving the Data Efficiency of Multi-Objective Quality-Diversity through Gradient Assistance and Crowding Exploration. CoRR abs/2302.12668 (2023) - [i46]Maxence Faldor, Félix Chalumeau, Manon Flageat, Antoine Cully:
MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy. CoRR abs/2303.03832 (2023) - [i45]Manon Flageat, Bryan Lim, Antoine Cully:
Multiple Hands Make Light Work: Enhancing Quality and Diversity using MAP-Elites with Multiple Parallel Evolution Strategies. CoRR abs/2303.06137 (2023) - [i44]Bryan Lim, Manon Flageat, Antoine Cully:
Understanding the Synergies between Quality-Diversity and Deep Reinforcement Learning. CoRR abs/2303.06164 (2023) - [i43]Luca Grillotti, Manon Flageat, Bryan Lim, Antoine Cully:
Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains. CoRR abs/2304.03672 (2023) - [i42]Simón C. Smith, Bryan Lim, Hannah Janmohamed, Antoine Cully:
Quality-Diversity Optimisation on a Physical Robot Through Dynamics-Aware and Reset-Free Learning. CoRR abs/2304.12080 (2023) - [i41]Manon Flageat, Luca Grillotti, Antoine Cully:
Benchmark tasks for Quality-Diversity applied to Uncertain domains. CoRR abs/2304.12454 (2023) - [i40]Raphaël Boige, Guillaume Richard, Jérémie Donà, Thomas Pierrot, Antoine Cully:
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces. CoRR abs/2306.05138 (2023) - [i39]Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye:
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. CoRR abs/2306.11924 (2023) - [i38]Félix Chalumeau, Bryan Lim, Raphaël Boige, Maxime Allard, Luca Grillotti, Manon Flageat, Valentin Macé, Arthur Flajolet, Thomas Pierrot, Antoine Cully:
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration. CoRR abs/2308.03665 (2023) - [i37]Garðar Ingvarsson, Mikayel Samvelyan, Bryan Lim, Manon Flageat, Antoine Cully, Tim Rocktäschel:
Mix-ME: Quality-Diversity for Multi-Agent Learning. CoRR abs/2311.01829 (2023) - [i36]Manon Flageat, Bryan Lim, Antoine Cully:
Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms. CoRR abs/2312.07178 (2023) - 2022
- [j12]Luca Grillotti, Antoine Cully:
Unsupervised Behavior Discovery With Quality-Diversity Optimization. IEEE Trans. Evol. Comput. 26(6): 1539-1552 (2022) - [j11]Frank Kaptein, Bernd Kiefer, Antoine Cully, Oya Çeliktutan, Bert P. B. Bierman, Rifca Rijgersberg-Peters, Joost Broekens, Willeke van Vught, Michael van Bekkum, Yiannis Demiris, Mark A. Neerincx:
A Cloud-based Robot System for Long-term Interaction: Principles, Implementation, Lessons Learned. ACM Trans. Hum. Robot Interact. 11(1): 8:1-8:27 (2022) - [c26]Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye:
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. CCS 2022: 623-637 - [c25]Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully:
Hierarchical quality-diversity for online damage recovery. GECCO 2022: 58-67 - [c24]Luca Grillotti, Antoine Cully:
Relevance-guided unsupervised discovery of abilities with quality-diversity algorithms. GECCO 2022: 77-85 - [c23]Bryan Lim, Alexander Reichenbach, Antoine Cully:
Learning to walk autonomously via reset-free quality-diversity. GECCO 2022: 86-94 - [c22]Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully:
QDax: on the benefits of massive parallelization for quality-diversity. GECCO Companion 2022: 128-131 - [c21]Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully:
Multi-objective quality diversity optimization. GECCO 2022: 139-147 - [c20]Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux:
Quality-diversity optimisation. GECCO Companion 2022: 864-889 - [c19]Thomas Pierrot, Valentin Macé, Félix Chalumeau, Arthur Flajolet, Geoffrey Cideron, Karim Beguir, Antoine Cully, Olivier Sigaud, Nicolas Perrin-Gilbert:
Diversity policy gradient for sample efficient quality-diversity optimization. GECCO 2022: 1075-1083 - [c18]Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, Antoine Cully:
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires. ICRA 2022: 5360-5366 - [i35]Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully:
Accelerated Quality-Diversity for Robotics through Massive Parallelism. CoRR abs/2202.01258 (2022) - [i34]Thomas Pierrot, Guillaume Richard, Karim Beguir, Antoine Cully:
Multi-Objective Quality Diversity Optimization. CoRR abs/2202.03057 (2022) - [i33]Bryan Lim, Alexander Reichenbach, Antoine Cully:
Learning to Walk Autonomously via Reset-Free Quality-Diversity. CoRR abs/2204.03655 (2022) - [i32]Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Antoine Cully:
Hierarchical Quality-Diversity for Online Damage Recovery. CoRR abs/2204.05726 (2022) - [i31]Luca Grillotti, Antoine Cully:
Relevance-guided Unsupervised Discovery of Abilities with Quality-Diversity Algorithms. CoRR abs/2204.09828 (2022) - [i30]Félix Chalumeau, Raphaël Boige, Bryan Lim, Valentin Macé, Maxime Allard, Arthur Flajolet, Antoine Cully, Thomas Pierrot:
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery. CoRR abs/2210.03516 (2022) - [i29]Shikha Surana, Bryan Lim, Antoine Cully:
Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors. CoRR abs/2210.04819 (2022) - [i28]Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, Bryan Lim, Antoine Cully:
Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. CoRR abs/2210.09918 (2022) - [i27]Manon Flageat, Félix Chalumeau, Antoine Cully:
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains. CoRR abs/2210.13156 (2022) - [i26]Manon Flageat, Bryan Lim, Luca Grillotti, Maxime Allard, Simón C. Smith, Antoine Cully:
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning. CoRR abs/2211.02193 (2022) - [i25]Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye:
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. CoRR abs/2211.05249 (2022) - [i24]Bryan Lim, Manon Flageat, Antoine Cully:
Efficient Exploration using Model-Based Quality-Diversity with Gradients. CoRR abs/2211.12610 (2022) - [i23]Félix Chalumeau, Thomas Pierrot, Valentin Macé, Arthur Flajolet, Karim Beguir, Antoine Cully, Nicolas Perrin-Gilbert:
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems. CoRR abs/2211.13742 (2022) - [i22]Luca Grillotti, Antoine Cully:
Discovering Unsupervised Behaviours from Full-State Trajectories. CoRR abs/2211.15451 (2022) - 2021
- [c17]Antoine Cully:
Multi-emitter MAP-elites: improving quality, diversity and data efficiency with heterogeneous sets of emitters. GECCO 2021: 84-92 - [c16]Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux:
Quality-diversity optimisation. GECCO Companion 2021: 715-739 - [c15]Olle Nilsson, Antoine Cully:
Policy gradient assisted MAP-Elites. GECCO 2021: 866-875 - [c14]Nemanja Rakicevic, Antoine Cully, Petar Kormushev:
Policy manifold search: exploring the manifold hypothesis for diversity-based neuroevolution. GECCO 2021: 901-909 - [c13]Liyi Zhou, Kaihua Qin, Antoine Cully, Benjamin Livshits, Arthur Gervais:
On the Just-In-Time Discovery of Profit-Generating Transactions in DeFi Protocols. SP 2021: 919-936 - [i21]Liyi Zhou, Kaihua Qin, Antoine Cully, Benjamin Livshits, Arthur Gervais:
On the Just-In-Time Discovery of Profit-Generating Transactions in DeFi Protocols. CoRR abs/2103.02228 (2021) - [i20]Nemanja Rakicevic, Antoine Cully, Petar Kormushev:
Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution. CoRR abs/2104.13424 (2021) - [i19]Luca Grillotti, Antoine Cully:
Unsupervised Behaviour Discovery with Quality-Diversity Optimisation. CoRR abs/2106.05648 (2021) - [i18]Bryan Lim, Luca Grillotti, Lorenzo Bernasconi, Antoine Cully:
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires. CoRR abs/2109.08522 (2021) - 2020
- [j10]Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Léni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Richard A. Watson, Westley Weimer, Jason Yosinski:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 26(2): 274-306 (2020) - [j9]Remy Kusters, Dusan Misevic, Hugues Berry, Antoine Cully, Yann Le Cunff, Loic Dandoy, Natalia Díaz Rodríguez, Marion Ficher, Jonathan Grizou, Alice Othmani, Themis Palpanas, Matthieu Komorowski, Patrick Loiseau, Clément Moulin-Frier, Santino Nanini, Daniele Quercia, Michèle Sebag, Françoise Fogelman-Soulié, Sofiane Taleb, Liubov Tupikina, Vaibhav Sahu, Jill-Jênn Vie, Fatima Wehbi:
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers Big Data 3: 577974 (2020) - [j8]Martina Zambelli, Antoine Cully, Yiannis Demiris:
Multimodal representation models for prediction and control from partial information. Robotics Auton. Syst. 123 (2020) - [j7]Antoine Cully, Yiannis Demiris:
Online Knowledge Level Tracking with Data-Driven Student Models and Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 32(10): 2000-2013 (2020) - [c12]Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux:
Quality-diversity optimisation. GECCO Companion 2020: 701-723 - [c11]Manon Flageat, Antoine Cully:
Fast and stable MAP-Elites in noisy domains using deep grids. ALIFE 2020: 273-282 - [i17]Manon Flageat, Antoine Cully:
Fast and stable MAP-Elites in noisy domains using deep grids. CoRR abs/2006.14253 (2020) - [i16]Antoine Cully:
Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emitters. CoRR abs/2007.05352 (2020) - [i15]Szymon Brych, Antoine Cully:
Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations. CoRR abs/2009.08438 (2020) - [i14]Konstantinos I. Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades, Jean-Baptiste Mouret:
Quality-Diversity Optimization: a novel branch of stochastic optimization. CoRR abs/2012.04322 (2020) - [i13]Nemanja Rakicevic, Antoine Cully, Petar Kormushev:
Policy Manifold Search for Improving Diversity-based Neuroevolution. CoRR abs/2012.08676 (2020)
2010 – 2019
- 2019
- [j6]Fan Zhang, Antoine Cully, Yiannis Demiris:
Probabilistic Real-Time User Posture Tracking for Personalized Robot-Assisted Dressing. IEEE Trans. Robotics 35(4): 873-888 (2019) - [c10]Antoine Cully:
Autonomous skill discovery with quality-diversity and unsupervised descriptors. GECCO 2019: 81-89 - [c9]Kai Arulkumaran, Antoine Cully, Julian Togelius:
AlphaStar: an evolutionary computation perspective. GECCO (Companion) 2019: 314-315 - [i12]Kai Arulkumaran, Antoine Cully, Julian Togelius:
AlphaStar: An Evolutionary Computation Perspective. CoRR abs/1902.01724 (2019) - [i11]Antoine Cully:
Autonomous skill discovery with Quality-Diversity and Unsupervised Descriptors. CoRR abs/1905.11874 (2019) - [i10]Martina Zambelli, Antoine Cully, Yiannis Demiris:
Multimodal representation models for prediction and control from partial information. CoRR abs/1910.03854 (2019) - 2018
- [j5]Antoine Cully, Konstantinos I. Chatzilygeroudis, Federico Allocati, Jean-Baptiste Mouret:
Limbo: A Flexible High-performance Library for Gaussian Processes modeling and Data-Efficient Optimization. J. Open Source Softw. 3(26): 545 (2018) - [j4]Antoine Cully, Yiannis Demiris:
Quality and Diversity Optimization: A Unifying Modular Framework. IEEE Trans. Evol. Comput. 22(2): 245-259 (2018) - [c8]Antoine Cully, Yiannis Demiris:
Hierarchical behavioral repertoires with unsupervised descriptors. GECCO 2018: 69-76 - [i9]Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A. Watson, Jason Yosinski:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR abs/1803.03453 (2018) - [i8]Antoine Cully, Yiannis Demiris:
Hierarchical Behavioral Repertoires with Unsupervised Descriptors. CoRR abs/1804.07127 (2018) - 2017
- [c7]Fan Zhang, Antoine Cully, Yiannis Demiris:
Personalized robot-assisted dressing using user modeling in latent spaces. IROS 2017: 3603-3610 - [i7]Ruohan Wang, Antoine Cully, Hyung Jin Chang, Yiannis Demiris:
MAGAN: Margin Adaptation for Generative Adversarial Networks. CoRR abs/1704.03817 (2017) - [i6]Antoine Cully, Yiannis Demiris:
Quality and Diversity Optimization: A Unifying Modular Framework. CoRR abs/1708.09251 (2017) - 2016
- [j3]Antoine Cully, Jean-Baptiste Mouret:
Evolving a Behavioral Repertoire for a Walking Robot. Evol. Comput. 24(1): 59-88 (2016) - [c6]Danesh Tarapore, Jeff Clune, Antoine Cully, Jean-Baptiste Mouret:
How do Different Encodings Influence the Performance of the MAP-Elites Algorithm? GECCO 2016: 173-180 - [i5]Konstantinos I. Chatzilygeroudis, Antoine Cully, Jean-Baptiste Mouret:
Towards semi-episodic learning for robot damage recovery. CoRR abs/1610.01407 (2016) - [i4]Antoine Cully, Konstantinos I. Chatzilygeroudis, Federico Allocati, Jean-Baptiste Mouret:
Limbo: A Fast and Flexible Library for Bayesian Optimization. CoRR abs/1611.07343 (2016) - 2015
- [b1]Antoine Cully:
Creative Adaptation through Learning. (Adaptation Créative par Apprentissage). Pierre and Marie Curie University, Paris, France, 2015 - [j2]Antoine Cully, Jeff Clune, Danesh Tarapore, Jean-Baptiste Mouret:
Robots that can adapt like animals. Nat. 521(7553): 503-507 (2015) - [c5]Carlos Maestre, Antoine Cully, Christophe Gonzales, Stéphane Doncieux:
Bootstrapping interactions with objects from raw sensorimotor data: A novelty search based approach. ICDL-EPIROB 2015: 7-12 - 2014
- [c4]Antoine Cully, Jean-Baptiste Mouret:
Learning to Walk in Every Direction with the TBR-Learning algorithm. ALIFE 2014: 146-147 - [c3]Sylvain Koos, Antoine Cully, Jean-Baptiste Mouret:
Abstract of: "Fast Damage Recovery in Robotics with the T-Resilience Algorithm". ALIFE 2014: 156-157 - [i3]Antoine Cully, Jeff Clune, Jean-Baptiste Mouret:
Robots that can adapt like natural animals. CoRR abs/1407.3501 (2014) - 2013
- [j1]Sylvain Koos, Antoine Cully, Jean-Baptiste Mouret:
Fast damage recovery in robotics with the T-resilience algorithm. Int. J. Robotics Res. 32(14): 1700-1723 (2013) - [c2]Sylvain Koos, Antoine Cully, Jean-Baptiste Mouret:
High resilience in robotics with a multi-objective evolutionary algorithm. GECCO (Companion) 2013: 31-32 - [c1]Antoine Cully, Jean-Baptiste Mouret:
Behavioral repertoire learning in robotics. GECCO 2013: 175-182 - [i2]Sylvain Koos, Antoine Cully, Jean-Baptiste Mouret:
Fast Damage Recovery in Robotics with the T-Resilience Algorithm. CoRR abs/1302.0386 (2013) - [i1]Antoine Cully, Jean-Baptiste Mouret:
Learning to Walk in Every Direction. CoRR abs/1308.3689 (2013)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
