Evolving and merging hebbian learning rules: increasing generalization by decreasing the number of rules. - Joachim Winther Pedersen; Sebastian Risi (GECCO, 2021)

Minimal neural network models for permutation invariant agents. - Joachim Winther Pedersen; Sebastian Risi (GECCO, 2022)

Learning to Act through Evolution of Neural Diversity in Random Neural Networks. - Joachim Winther Pedersen; Sebastian Risi (GECCO, 2023)

Evolution of an Internal Reward Function for Reinforcement Learning. - Weiyi Zuo; Joachim Winther Pedersen; Sebastian Risi (GECCO Companion, 2023)

Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity. - Eleni Nisioti; Erwan Plantec; Milton Montero; Joachim Winther Pedersen; Sebastian Risi (GECCO Companion, 2024)

Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents. - Joachim Winther Pedersen; Erwan Plantec; Eleni Nisioti; Milton Montero; Sebastian Risi (GECCO, 2024)

Meta-Learning an Evolvable Developmental Encoding. - Milton L. Montero; Erwan Plantec; Eleni Nisioti; Joachim Winther Pedersen; Sebastian Risi (CoRR, 2024)

From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models. - Eleni Nisioti; Claire Glanois; Elias Najarro; Andrew Dai 001; Elliot Meyerson; Joachim Winther Pedersen; Laetitia Teodorescu; Conor F. Hayes; Shyam Sudhakaran; Sebastian Risi (CoRR, 2024)

When Does Neuroevolution Outcompete Reinforcement Learning in Transfer Learning Tasks? - Eleni Nisioti; Erwan Plantec; Milton Montero; Joachim Winther Pedersen; Sebastian Risi (GECCO, 2025)

Bio-Inspired Plastic Neural Networks for Zero-Shot Out-of-Distribution Generalization in Complex Animal-Inspired Robots. - Binggwong Leung; Worasuchad Haomachai; Joachim Winther Pedersen; Sebastian Risi; Poramate Manoonpong (CoRR, 2025)