Joel Lehman

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 63

Top Topics

Reinforcement Learning

Evolutionary Robotics

Top Venues

GECCO (Companion)

Publications

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
The Ethics of Advanced AI Assistants. CoRR (2024)
Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune
OMNI: Open-endedness via Models of human Notions of Interestingness. ICLR (2024)
Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
Quality-Diversity through AI Feedback. ICLR (2024)
Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman
Quality Diversity through Human Feedback. CoRR (2023)
Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune
OMNI: Open-endedness via Models of human Notions of Interestingness. CoRR (2023)
Herbie Bradley, Honglu Fan, Theodoros Galanos, Ryan Zhou, Daniel Scott, Joel Lehman
The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms. GPTP (2023)
Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Arash Moradi, Amy K. Hoover, Joel Lehman
Language Model Crossover: Variation through Few-Shot Prompting. CoRR (2023)
Joel Lehman
Machine Love. CoRR (2023)
Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
Quality-Diversity through AI Feedback. CoRR (2023)
Joel Lehman, Jonathan Gordon, Shawn Jain, Kamal Ndousse, Cathy Yeh, Kenneth O. Stanley
Evolution through Large Models. CoRR (2022)
Adrien Ecoffet, Joel Lehman
Reinforcement Learning Under Moral Uncertainty. ICML (2021)
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
First return, then explore. Nat. 590 (7847) (2021)
Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeff Clune, Kenneth O. Stanley
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. CoRR (2020)
Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. CoRR (2020)
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
Learning to Continually Learn. ECAI (2020)
Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha, Carl Shneider, Peter Henderson, Joel Lehman, Ryan Lowe
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop. CoRR (2020)
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
Learning to Continually Learn. CoRR (2020)
Joel Simon, Joel Lehman
Antimander: open source detection of gerrymandering though multi-objective evolutionary algorithms. GECCO Companion (2020)
Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Kenneth O. Stanley
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. ICML (2020)
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
First return then explore. CoRR (2020)
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) (2020)
Adrien Ecoffet, Jeff Clune, Joel Lehman
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity. ALIFE (2020)
Adrien Ecoffet, Jeff Clune, Joel Lehman
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity. CoRR (2020)
Adrien Ecoffet, Joel Lehman
Reinforcement Learning Under Moral Uncertainty. CoRR (2020)
Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeffrey Clune
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. ICML (2020)
Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng
Learning Belief Representations for Imitation Learning in POMDPs. CoRR (2019)
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
Go-Explore: a New Approach for Hard-Exploration Problems. CoRR (2019)
Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
Evolvability ES: scalable and direct optimization of evolvability. GECCO (2019)
Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng
Learning Belief Representations for Imitation Learning in POMDPs. UAI (2019)
Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen
Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework. ACM Trans. Cyber Phys. Syst. 3 (2) (2019)
Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley
POET: open-ended coevolution of environments and their optimized solutions. GECCO (2019)
Joel Lehman
Evolutionary Computation and AI Safety - Research Problems Impeding Routine and Safe Real-World Application of Evolution. GPTP (2019)
Joel Lehman
Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution. CoRR (2019)
Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions. CoRR (2019)
Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
Evolvability ES: Scalable and Direct Optimization of Evolvability. CoRR (2019)
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
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. IJCAI (2019)
Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. CoRR (2019)
Bart Bussmann, Jacqueline Heinerman, Joel Lehman
Towards Empathic Deep Q-Learning. CoRR (2019)
Bart Bussmann, Jacqueline Heinerman, Joel Lehman
Towards Empathic Deep Q-Learning. AISafety@IJCAI (2019)
Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen
Designing neural networks through neuroevolution. Nat. Mach. Intell. 1 (1) (2019)
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
Safe mutations for deep and recurrent neural networks through output gradients. GECCO (2018)
Joel Lehman, Jeff Clune, Dusan Misevic
The Surprising Creativity of Digital Evolution. ALIFE (2018)
Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution. CoRR (2018)
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 (2018)
Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. CoRR (2018)
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
ES is more than just a traditional finite-difference approximator. GECCO (2018)
Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski
An intriguing failing of convolutional neural networks and the CoordConv solution. NeurIPS (2018)
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. NeurIPS (2018)
Joel Lehman, Kenneth O. Stanley
On the Potential Benefits of Knowing Everything. ALIFE (2018)
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients. CoRR (2017)
Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. CoRR (2017)
Joel Lehman
Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics. GECCO (Companion) (2017)
Joel Lehman
Precomputation for rapid hypothesis generation in evolutionary robotics. GECCO (Companion) (2017)
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. CoRR (2017)
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
ES Is More Than Just a Traditional Finite-Difference Approximator. CoRR (2017)
Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley
Petalz: Search-Based Procedural Content Generation for the Casual Gamer. IEEE Trans. Comput. Intell. AI Games 8 (3) (2016)
Arend Hintze, Randal S. Olson, Joel Lehman
Orthogonally Evolved AI to Improve Difficulty Adjustment in Video Games. EvoApplications (1) (2016)
Elliot Meyerson, Joel Lehman, Risto Miikkulainen
Learning Behavior Characterizations for Novelty Search. GECCO (2016)
Jacob Schrum, Joel Lehman, Sebastian Risi
Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior. CoRR (2016)
Joel Lehman, Sebastian Risi, Jeff Clune
Creative Generation of 3D Objects with Deep Learning and Innovation Engines. ICCC (2016)
Joel Lehman, Bryan Wilder, Kenneth O. Stanley
On the Critical Role of Divergent Selection in Evolvability. Frontiers Robotics AI 3 (2016)
Jacob Schrum, Joel Lehman, Sebastian Risi
Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT. GECCO (Companion) (2016)
Henok Mengistu, Joel Lehman, Jeff Clune
Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It. GECCO (2016)
Joel Lehman
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. 16 (3) (2015)
Diana F. Galvao, Joel Lehman, Paulo Urbano
Novelty-Driven Particle Swarm Optimization. Artificial Evolution (2015)
Joel Lehman, Risto Miikkulainen
Enhancing Divergent Search through Extinction Events. GECCO (2015)
Joel Lehman, Kenneth O. Stanley
Investigating Biological Assumptions through Radical Reimplementation. Artif. Life 21 (1) (2015)
Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen
Tradeoffs in Real-Time Robotic Task Design with Neuroevolution Learning for Imprecise Computation. RTSS (2015)
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
Reports on the 2013 AAAI Fall Symposium Series. AI Mag. 35 (2) (2014)
Joel Lehman, Jeff Clune, Sebastian Risi
An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI. IEEE Intell. Syst. 29 (6) (2014)
Pei-Chi Huang, Joel Lehman, Aloysius K. Mok, Risto Miikkulainen, Luis Sentis
Grasping novel objects with a dexterous robotic hand through neuroevolution. CICA (2014)
Matthew J. Hausknecht, Joel Lehman, Risto Miikkulainen, Peter Stone
A Neuroevolution Approach to General Atari Game Playing. IEEE Trans. Comput. Intell. AI Games 6 (4) (2014)
Joel Lehman, Risto Miikkulainen
Overcoming deception in evolution of cognitive behaviors. GECCO (2014)
Sebastian Risi, Joel Lehman, Jeff Clune
Preface. AAAI Fall Symposia (2013)
Joel Lehman, Kenneth O. Stanley
Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation. AAAI Fall Symposia (2013)
Sebastian Risi, Joel Lehman, Jeff Clune
Organizing Committee. AAAI Fall Symposia (2013)
Joel Lehman, Risto Miikkulainen
Neuroevolution. Scholarpedia 8 (6) (2013)
Joel Lehman, Kenneth O. Stanley
Evolvability Is Inevitable: Increasing Evolvability Without the Pressure to Adapt CoRR (2013)
Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley
Encouraging reactivity to create robust machines. Adapt. Behav. 21 (6) (2013)
Joel Lehman, Kenneth O. Stanley, Risto Miikkulainen
Effective diversity maintenance in deceptive domains. GECCO (2013)
Joel Lehman, Risto Miikkulainen
Boosting Interactive Evolution Using Human Computation Markets. TPNC (2013)
Joel Lehman, Kenneth O. Stanley
Beyond Open-endedness: Quantifying Impressiveness. ALIFE (2012)
Joel Lehman, Sebastian Risi, David B. D'Ambrosio, Kenneth O. Stanley
Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise. ALIFE (2012)
Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, Kenneth O. Stanley
Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game. AIIDE (2012)
David B. D'Ambrosio, Skyler Goodell, Joel Lehman, Sebastian Risi, Kenneth O. Stanley
Multirobot Behavior Synchronization through Direct Neural Network Communication. ICIRA (2) (2012)
Joel Lehman, Kenneth O. Stanley
Abandoning Objectives: Evolution Through the Search for Novelty Alone. Evol. Comput. 19 (2) (2011)
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley
Task switching in multirobot learning through indirect encoding. IROS (2011)
Joel Lehman, Kenneth O. Stanley
Improving evolvability through novelty search and self-adaptation. IEEE Congress on Evolutionary Computation (2011)
Joel Lehman, Kenneth O. Stanley
Evolving a diversity of virtual creatures through novelty search and local competition. GECCO (2011)
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
Evolving the placement and density of neurons in the hyperneat substrate. GECCO (2010)
Joel Lehman, Kenneth O. Stanley
Efficiently evolving programs through the search for novelty. GECCO (2010)
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, Kenneth O. Stanley
Evolving policy geometry for scalable multiagent learning. AAMAS (2010)
Joel Lehman, Kenneth O. Stanley
Revising the evolutionary computation abstraction: minimal criteria novelty search. GECCO (2010)
Joel Lehman, Kenneth O. Stanley
Exploiting Open-Endedness to Solve Problems Through the Search for Novelty. ALIFE (2008)