The Effects of Learning in Morphologically Evolving Robot Systems. - Jie Luo 017; Jakub M. Tomczak; Ágoston E. Eiben (CoRR, 2021)

Environment induced emergence of collective behavior in evolving swarms with limited sensing. - Fuda van Diggelen; Jie Luo 017; Tugay Alperen Karagüzel; Nicolas Cambier; Eliseo Ferrante; A. E. Eiben (GECCO, 2022)

Collective motion emerging from evolving swarm controllers in different environments using gradient following task. - Fuda van Diggelen; Jie Luo 017; Tugay Alperen Karagüzel; Nicolas Cambier; Eliseo Ferrante; A. E. Eiben (CoRR, 2022)

The Effects of Learning in Morphologically Evolving Robot Systems. - Jie Luo 017; Aart C. Stuurman; Jakub M. Tomczak; Jacintha Ellers; Ágoston E. Eiben (Frontiers Robotics AI, 2022)

A Comparison of Controller Architectures and Learning Mechanisms for Arbitrary Robot Morphologies. - Jie Luo 017; Jakub M. Tomczak; Karine Miras; Ágoston E. Eiben (SSCI, 2023)

A Comparative Study of Brain Reproduction Methods for Morphologically Evolving Robots. - Jie Luo 017; Carlo Longhi; Ágoston E. Eiben (CoRR, 2023)

Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better. - Jie Luo 017; Karine Miras; Jakub M. Tomczak; Ágoston E. Eiben (CoRR, 2023)

The Influence of Robot Traits and Evolutionary Dynamics on the Reality Gap. - Fuda van Diggelen; Eliseo Ferrante; Nihed Harrak; Jie Luo 017; Daan Zeeuwe; A. E. Eiben (IEEE Trans. Cogn. Dev. Syst., 2023)

Exploring Robot Morphology Spaces Through Breadth-First Search and Random Query. - Jie Luo 017; Carlo Longhi; Ágoston E. Eiben (FICC (1), 2024)

Gait-Learning with Morphologically Evolving Robots Generated by L-System. - Jie Luo 017; Daan Zeeuwe; Ágoston E. Eiben (ICECET, 2024)

Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments. - Jie Luo 017; Karine Miras; Carlo Longhi; Oliver Weissl; Ágoston E. Eiben (CoRR, 2024)