Stanley, Kenneth O.

Search-Based Procedural Content Generation: A Taxonomy and Survey

Togelius, J., Yannakakis, G. N., Stanley, K. O., & Browne, C. (2011) · IEEE Transactions on Computational Intelligence and AI in Games

Artificial Intelligence in GamesEvolutionary Algorithms and Applications

Cited by 706

Quality Diversity: A New Frontier for Evolutionary Computation

Pugh, J. K., Soros, L. B., & Stanley, K. O. (2016) · Frontiers in Robotics and AI

Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms Research

Cited by 514

First return, then explore

Ecoffet, A., Huizinga, J., Lehman, J., Stanley, K. O., & Clune, J. (2021) · Nature

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 330

Go-Explore: a New Approach for Hard-Exploration Problems

Ecoffet, A., Huizinga, J., Lehman, J., Stanley, K. O., & Clune, J. (2019) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 205

Picbreeder: evolving pictures collaboratively online

Secretan, J., Beato, N., D Ambrosio, D. B., Rodriguez, A., Campbell, A., & Stanley, K. O. (2008) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Evolutionary Algorithms and ApplicationsArt, Technology, and Culture

Cited by 192

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

Lehman, J., Clune, J., Misevic, D., Adami, C., Altenberg, L., Beaulieu, J., Bentley, P. J., Bernard, S., Beslon, G., Bryson, D. M., et al. (2020) · Artificial Life

Evolutionary Algorithms and ApplicationsEvolution and Genetic Dynamics

Cited by 181

Why Greatness Cannot Be Planned: The Myth of the Objective

Stanley, K. O., & Lehman, J. (2015) · Springer eBooks

Leadership, Courage, and Heroism StudiesEducation, Philosophy, and Society

Cited by 139

Open-Ended Evolution: Perspectives from the OEE Workshop in York

Taylor, T., Bedau, M., Channon, A., Ackley, D., Banzhaf, W., Beslon, G., Dolson, E., Froese, T., Hickinbotham, S., Ikegami, T., et al. (2016) · Artificial Life

Evolutionary Algorithms and ApplicationsComplex Systems and Dynamics

Cited by 111

Evolution through Large Models

Lehman, J., Gordon, J., Jain, S., Ndousse, K., Yeh, C., & Stanley, K. O. (2022) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 74

Evolution Through Large Models

Lehman, J., Gordon, J., Jain, S., Ndousse, K., Yeh, C., & Stanley, K. O. (2024) · Genetic and Evolutionary Computation

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 74

POET: open-ended coevolution of environments and their optimized solutions

Wang, R., Lehman, J., Clune, J., & Stanley, K. O. (2019) · Proceedings of the Genetic and Evolutionary Computation Conference

Evolutionary Algorithms and ApplicationsReinforcement Learning in Robotics

Cited by 61

Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions

Wang, R., Lehman, J., Rawal, A., Zhi, J., Li, Y., Clune, J., & Stanley, K. O. (2020) · arXiv

Reinforcement Learning in RoboticsEvolutionary Algorithms and Applications

Cited by 53

Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis

Kumar, A., Clune, J., Lehman, J., & Stanley, K. O. (2025) · arXiv

Neural Networks and ApplicationsEvolutionary Algorithms and Applications

Cited by 2