Joel Lehman - RankMe

102 papers A* 9A 18B 1C 7Journal 50Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evolution and The Knightian Blindspot of Machine Learning. CoRR Joel Lehman, Elliot Meyerson, Tarek El-Gaaly, Kenneth O. Stanley, Tarin Ziyaee
2025	J	`jnl`	Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value. CoRR Joe Edelman, Tan Zhi-Xuan, Ryan Lowe, Oliver Klingefjord, Vincent Wang-Mascianica, Matija Franklin, Ryan Othniel Kearns, Ellie Hain, Atrisha Sarkar, Michiel A. Bakker, Fazl Barez, David Duvenaud, Jakob N. Foerster, Iason Gabriel, Joseph Gubbels, Bryce Goodman, Andreas Haupt, Jobst Heitzig, Julian Jara-Ettinger, Atoosa Kasirzadeh, James Ravi Kirkpatrick, Andrew Koh, W. Bradley Knox, Philipp E. Koralus, Joel Lehman, Sydney Levine, Samuele Marro, Manon Revel, Toby Shorin, Morgan Sutherland, Michael Henry Tessler, Ivan Vendrov, James Wilken-Smith
2025	J	`jnl`	Multi-Agent Risks from Advanced AI. CoRR Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob N. Foerster, Tomas Gavenciak, The Anh Han, Edward Hughes, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan
2025	J	`jnl`	Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis. CoRR Akarsh Kumar, Jeff Clune, Joel Lehman, Kenneth O. Stanley
2024	J	`jnl`	Language Model Crossover: Variation through Few-Shot Prompting. ACM Trans. Evol. Learn. Optim. Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Adam Gaier, Arash Moradi Karkaj, Amy K. Hoover, Joel Lehman
2024	A*	`conf`	OMNI: Open-endedness via Models of human Notions of Interestingness. ICLR Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2024	A*	`conf`	Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization. ICML Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman
2024	A*	`conf`	Quality-Diversity through AI Feedback. ICLR Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
2024	J	`jnl`	Simulating Tabular Datasets through LLMs to Rapidly Explore Hypotheses about Real-World Entities. CoRR Miguel Zabaleta, Joel Lehman
2024	J	`jnl`	The Ethics of Advanced AI Assistants. CoRR Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomasev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, James Manyika
2023	J	`jnl`	Language Model Crossover: Variation through Few-Shot Prompting. CoRR Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Adam Gaier, Arash Moradi Karkaj, Amy K. Hoover, Joel Lehman
2023	J	`jnl`	Machine Love. CoRR Joel Lehman
2023	J	`jnl`	OMNI: Open-endedness via Models of human Notions of Interestingness. CoRR Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2023	J	`jnl`	Quality Diversity through Human Feedback. CoRR Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman
2023	J	`jnl`	Quality-Diversity through AI Feedback. CoRR Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
2023	—	`conf`	The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms. GPTP Herbie Bradley, Honglu Fan, Theodoros Galanos, Ryan Zhou, Daniel Scott, Joel Lehman
2022	J	`jnl`	Evolution through Large Models. CoRR Joel Lehman, Jonathan Gordon, Shawn Jain, Kamal Ndousse, Cathy Yeh, Kenneth O. Stanley
2021	J	`jnl`	First return, then explore. Nat. Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2021	A*	`conf`	Reinforcement Learning Under Moral Uncertainty. ICML Adrien Ecoffet, Joel Lehman
2020	—	`conf`	Antimander: open source detection of gerrymandering though multi-objective evolutionary algorithms. GECCO Companion Joel Simon, Joel Lehman
2020	J	`jnl`	Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. CoRR Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeff Clune, Kenneth O. Stanley
2020	A*	`conf`	Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. ICML Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Kenneth O. Stanley
2020	J	`jnl`	First return then explore. CoRR Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2020	A*	`conf`	Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. ICML Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeffrey Clune
2020	J	`jnl`	Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop. CoRR Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha, Carl Shneider, Peter Henderson, Joel Lehman, Ryan Lowe
2020	A	`conf`	Learning to Continually Learn. ECAI Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
2020	J	`jnl`	Learning to Continually Learn. CoRR Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
2020	C	`conf`	Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity. ALIFE Adrien Ecoffet, Jeff Clune, Joel Lehman
2020	J	`jnl`	Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity. CoRR Adrien Ecoffet, Jeff Clune, Joel Lehman
2020	J	`jnl`	Reinforcement Learning Under Moral Uncertainty. CoRR Adrien Ecoffet, Joel Lehman
2020	J	`jnl`	Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. CoRR Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley
2020	J	`jnl`	The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 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
2019	A*	`conf`	An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. IJCAI Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman
2019	J	`jnl`	Designing neural networks through neuroevolution. Nat. Mach. Intell. Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen
2019	—	`conf`	Evolutionary Computation and AI Safety - Research Problems Impeding Routine and Safe Real-World Application of Evolution. GPTP Joel Lehman
2019	J	`jnl`	Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution. CoRR Joel Lehman
2019	J	`jnl`	Evolvability ES: Scalable and Direct Optimization of Evolvability. CoRR Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
2019	A	`conf`	Evolvability ES: scalable and direct optimization of evolvability. GECCO Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
2019	J	`jnl`	Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. CoRR Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2019	J	`jnl`	Go-Explore: a New Approach for Hard-Exploration Problems. CoRR Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2019	A	`conf`	Learning Belief Representations for Imitation Learning in POMDPs. UAI Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng
2019	J	`jnl`	Learning Belief Representations for Imitation Learning in POMDPs. CoRR Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng
2019	A	`conf`	POET: open-ended coevolution of environments and their optimized solutions. GECCO Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley
2019	J	`jnl`	Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions. CoRR Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley
2019	—	`conf`	Towards Empathic Deep Q-Learning. AISafety@IJCAI Bart Bussmann, Jacqueline Heinerman, Joel Lehman
2019	J	`jnl`	Towards Empathic Deep Q-Learning. CoRR Bart Bussmann, Jacqueline Heinerman, Joel Lehman
2019	J	`jnl`	Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework. ACM Trans. Cyber Phys. Syst. Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen
2018	J	`jnl`	An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. CoRR Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman
2018	J	`jnl`	An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution. CoRR Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski
2018	A*	`conf`	An intriguing failing of convolutional neural networks and the CoordConv solution. NeurIPS Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski
2018	A	`conf`	ES is more than just a traditional finite-difference approximator. GECCO Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
2018	A*	`conf`	Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. NeurIPS Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2018	C	`conf`	On the Potential Benefits of Knowing Everything. ALIFE Joel Lehman, Kenneth O. Stanley
2018	A	`conf`	Safe mutations for deep and recurrent neural networks through output gradients. GECCO Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
2018	C	`conf`	The Surprising Creativity of Digital Evolution. ALIFE Joel Lehman, Jeff Clune, Dusan Misevic
2018	J	`jnl`	The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR 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
2017	—	`conf`	Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics. GECCO (Companion) Joel Lehman
2017	J	`jnl`	Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. CoRR Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2017	J	`jnl`	ES Is More Than Just a Traditional Finite-Difference Approximator. CoRR Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
2017	J	`jnl`	Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. CoRR Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2017	—	`conf`	Precomputation for rapid hypothesis generation in evolutionary robotics. GECCO (Companion) Joel Lehman
2017	J	`jnl`	Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients. CoRR Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
2016	—	`conf`	Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT. GECCO (Companion) Jacob Schrum, Joel Lehman, Sebastian Risi
2016	C	`conf`	Creative Generation of 3D Objects with Deep Learning and Innovation Engines. ICCC Joel Lehman, Sebastian Risi, Jeff Clune
2016	A	`conf`	Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It. GECCO Henok Mengistu, Joel Lehman, Jeff Clune
2016	A	`conf`	Learning Behavior Characterizations for Novelty Search. GECCO Elliot Meyerson, Joel Lehman, Risto Miikkulainen
2016	J	`jnl`	On the Critical Role of Divergent Selection in Evolvability. Frontiers Robotics AI Joel Lehman, Bryan Wilder, Kenneth O. Stanley
2016	—	`conf`	Orthogonally Evolved AI to Improve Difficulty Adjustment in Video Games. EvoApplications (1) Arend Hintze, Randal S. Olson, Joel Lehman
2016	J	`jnl`	Petalz: Search-Based Procedural Content Generation for the Casual Gamer. IEEE Trans. Comput. Intell. AI Games Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley
2016	J	`jnl`	Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior. CoRR Jacob Schrum, Joel Lehman, Sebastian Risi
2015	A	`conf`	Enhancing Divergent Search through Extinction Events. GECCO Joel Lehman, Risto Miikkulainen
2015	J	`jnl`	Investigating Biological Assumptions through Radical Reimplementation. Artif. Life Joel Lehman, Kenneth O. Stanley
2015	—	`conf`	Novelty-Driven Particle Swarm Optimization. Artificial Evolution Diana F. Galvao, Joel Lehman, Paulo Urbano
2015	J	`jnl`	Patricia Vargas, Ezequiel Di Paolo, Inman Harvey, and Phil Husbands (eds), The Horizons of Evolutionary Robotics, The MIT Press, 2014, ISBN: 978-0-262-02676-5, Hardcover book, 302 pages. Genet. Program. Evolvable Mach. Joel Lehman
2015	A	`conf`	Tradeoffs in Real-Time Robotic Task Design with Neuroevolution Learning for Imprecise Computation. RTSS Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen
2015	—	`book`	Why Greatness Cannot Be Planned - The Myth of the Objective Kenneth O. Stanley, Joel Lehman
2014	J	`jnl`	A Neuroevolution Approach to General Atari Game Playing. IEEE Trans. Comput. Intell. AI Games Matthew J. Hausknecht, Joel Lehman, Risto Miikkulainen, Peter Stone
2014	J	`jnl`	An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI. IEEE Intell. Syst. Joel Lehman, Jeff Clune, Sebastian Risi
2014	—	`conf`	Grasping novel objects with a dexterous robotic hand through neuroevolution. CICA Pei-Chi Huang, Joel Lehman, Aloysius K. Mok, Risto Miikkulainen, Luis Sentis
2014	A	`conf`	Overcoming deception in evolution of cognitive behaviors. GECCO Joel Lehman, Risto Miikkulainen
2014	J	`jnl`	Reports on the 2013 AAAI Fall Symposium Series. AI Mag. Gully Burns, Yolanda Gil, Yan Liu, Natalia Villanueva-Rosales, Sebastian Risi, Joel Lehman, Jeff Clune, Christian Lebiere, Paul S. Rosenbloom, Frank van Harmelen, James A. Hendler, Pascal Hitzler, Krzysztof Janowicz, Samarth Swarup
2013	—	`conf`	Boosting Interactive Evolution Using Human Computation Markets. TPNC Joel Lehman, Risto Miikkulainen
2013	A	`conf`	Effective diversity maintenance in deceptive domains. GECCO Joel Lehman, Kenneth O. Stanley, Risto Miikkulainen
2013	J	`jnl`	Encouraging reactivity to create robust machines. Adapt. Behav. Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley
2013	J	`jnl`	Evolvability Is Inevitable: Increasing Evolvability Without the Pressure to Adapt CoRR Joel Lehman, Kenneth O. Stanley
2013	—	`conf`	Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation. AAAI Fall Symposia Joel Lehman, Kenneth O. Stanley
2013	J	`jnl`	Neuroevolution. Scholarpedia Joel Lehman, Risto Miikkulainen
2013	—	`conf`	Organizing Committee. AAAI Fall Symposia Sebastian Risi, Joel Lehman, Jeff Clune
2013	—	`conf`	Preface. AAAI Fall Symposia Sebastian Risi, Joel Lehman, Jeff Clune
2012	C	`conf`	Beyond Open-endedness: Quantifying Impressiveness. ALIFE Joel Lehman, Kenneth O. Stanley
2012	—	`conf`	Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game. AIIDE Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley
2012	—	`conf`	Multirobot Behavior Synchronization through Direct Neural Network Communication. ICIRA (2) David B. D'Ambrosio, Skyler Goodell, Joel Lehman, Sebastian Risi, Kenneth O. Stanley
2012	C	`conf`	Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise. ALIFE Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley
2011	J	`jnl`	Abandoning Objectives: Evolution Through the Search for Novelty Alone. Evol. Comput. Joel Lehman, Kenneth O. Stanley
2011	A	`conf`	Evolving a diversity of virtual creatures through novelty search and local competition. GECCO Joel Lehman, Kenneth O. Stanley
2011	B	`conf`	Improving evolvability through novelty search and self-adaptation. IEEE Congress on Evolutionary Computation Joel Lehman, Kenneth O. Stanley
2011	A	`conf`	Task switching in multirobot learning through indirect encoding. IROS David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley
2010	A	`conf`	Efficiently evolving programs through the search for novelty. GECCO Joel Lehman, Kenneth O. Stanley
2010	A	`conf`	Evolving policy geometry for scalable multiagent learning. AAMAS David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley
2010	A	`conf`	Evolving the placement and density of neurons in the hyperneat substrate. GECCO Sebastian Risi, Joel Lehman, Kenneth O. Stanley
2010	A	`conf`	Revising the evolutionary computation abstraction: minimal criteria novelty search. GECCO Joel Lehman, Kenneth O. Stanley
2008	C	`conf`	Exploiting Open-Endedness to Solve Problems Through the Search for Novelty. ALIFE Joel Lehman, Kenneth O. Stanley