Joel Lehman

According to our database1, Joel Lehman authored at least 79 papers between 2008 and 2024.

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Bibliography

2024
The Ethics of Advanced AI Assistants.
CoRR, 2024

Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

OMNI: Open-endedness via Models of human Notions of Interestingness.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Quality-Diversity through AI Feedback.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Quality Diversity through Human Feedback.
CoRR, 2023

Language Model Crossover: Variation through Few-Shot Prompting.
CoRR, 2023

Machine Love.
CoRR, 2023

The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms.
Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023

2022
Evolution through Large Models.
CoRR, 2022

2021
First return, then explore.
Nat., 2021

Reinforcement Learning Under Moral Uncertainty.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop.
CoRR, 2020

Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search.
CoRR, 2020

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
Artif. Life, 2020

Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity.
Proceedings of the 2020 Conference on Artificial Life, 2020

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data.
Proceedings of the 37th International Conference on Machine Learning, 2020

Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions.
Proceedings of the 37th International Conference on Machine Learning, 2020

Antimander: open source detection of gerrymandering though multi-objective evolutionary algorithms.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Learning to Continually Learn.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework.
ACM Trans. Cyber Phys. Syst., 2019

Designing neural networks through neuroevolution.
Nat. Mach. Intell., 2019

Go-Explore: a New Approach for Hard-Exploration Problems.
CoRR, 2019

Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions.
CoRR, 2019

Learning Belief Representations for Imitation Learning in POMDPs.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Empathic Deep Q-Learning.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Evolutionary Computation and AI Safety - Research Problems Impeding Routine and Safe Real-World Application of Evolution.
Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019

POET: open-ended coevolution of environments and their optimized solutions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Evolvability ES: scalable and direct optimization of evolvability.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
CoRR, 2018

An intriguing failing of convolutional neural networks and the CoordConv solution.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On the Potential Benefits of Knowing Everything.
Proceedings of the 2018 Conference on Artificial Life, 2018

The Surprising Creativity of Digital Evolution.
Proceedings of the 2018 Conference on Artificial Life, 2018

ES is more than just a traditional finite-difference approximator.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Safe mutations for deep and recurrent neural networks through output gradients.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning.
CoRR, 2017

Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Precomputation for rapid hypothesis generation in evolutionary robotics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Petalz: Search-Based Procedural Content Generation for the Casual Gamer.
IEEE Trans. Comput. Intell. AI Games, 2016

On the Critical Role of Divergent Selection in Evolvability.
Frontiers Robotics AI, 2016

Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior.
CoRR, 2016

Creative Generation of 3D Objects with Deep Learning and Innovation Engines.
Proceedings of the Seventh International Conference on Computational Creativity, 2016

Automatic Evolution of Multimodal Behavior with Multi-Brain HyperNEAT.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Learning Behavior Characterizations for Novelty Search.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Orthogonally Evolved AI to Improve Difficulty Adjustment in Video Games.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

2015
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., 2015

Investigating Biological Assumptions through Radical Reimplementation.
Artif. Life, 2015

Tradeoffs in Real-Time Robotic Task Design with Neuroevolution Learning for Imprecise Computation.
Proceedings of the 2015 IEEE Real-Time Systems Symposium, 2015

Enhancing Divergent Search through Extinction Events.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Novelty-Driven Particle Swarm Optimization.
Proceedings of the Artificial Evolution, 2015

Why Greatness Cannot Be Planned - The Myth of the Objective
Springer, ISBN: 978-3-319-15524-1, 2015

2014
A Neuroevolution Approach to General Atari Game Playing.
IEEE Trans. Comput. Intell. AI Games, 2014

An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI.
IEEE Intell. Syst., 2014

Reports on the 2013 AAAI Fall Symposium Series.
AI Mag., 2014

Overcoming deception in evolution of cognitive behaviors.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Grasping novel objects with a dexterous robotic hand through neuroevolution.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014

2013
Neuroevolution.
Scholarpedia, 2013

Evolvability Is Inevitable: Increasing Evolvability Without the Pressure to Adapt
CoRR, 2013

Encouraging reactivity to create robust machines.
Adapt. Behav., 2013

Boosting Interactive Evolution Using Human Computation Markets.
Proceedings of the Theory and Practice of Natural Computing, 2013

Effective diversity maintenance in deceptive domains.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Preface.
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

Organizing Committee.
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation.
Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013

2012
Multirobot Behavior Synchronization through Direct Neural Network Communication.
Proceedings of the Intelligent Robotics and Applications - 5th International Conference, 2012

Beyond Open-endedness: Quantifying Impressiveness.
Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, 2012

Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise.
Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems, 2012

Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game.
Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2012

2011
Abandoning Objectives: Evolution Through the Search for Novelty Alone.
Evol. Comput., 2011

Task switching in multirobot learning through indirect encoding.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Evolving a diversity of virtual creatures through novelty search and local competition.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Improving evolvability through novelty search and self-adaptation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Evolving the placement and density of neurons in the hyperneat substrate.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Efficiently evolving programs through the search for novelty.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Revising the evolutionary computation abstraction: minimal criteria novelty search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Evolving policy geometry for scalable multiagent learning.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2008
Exploiting Open-Endedness to Solve Problems Through the Search for Novelty.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008


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