Eleni Nisioti

CoRR, 2024

Collective Innovation in Groups of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Evolving Self-Assembling Neural Networks: From Spontaneous Activity to Experience-Dependent Learning.

[BibT_eX]

[DOI]

Erwan Plantec

Joachin Winther Pedersen

Milton L. Montero

Sebastian Risi

CoRR, 2024

Meta-Learning an Evolvable Developmental Encoding.

[BibT_eX]

[DOI]

Milton L. Montero

Erwan Plantec

Sebastian Risi

CoRR, 2024

Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity.

[BibT_eX]

[DOI]

Erwan Plantec

Milton Montero

Sebastian Risi

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Evolving Reservoirs for Meta Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023

Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamics of niche construction in adaptable populations evolving in diverse environments.

[BibT_eX]

[DOI]

CoRR, 2023

Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments.

[BibT_eX]

[DOI]

Gautier Hamon

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Autotelic Reinforcement Learning in Multi-Agent Environments.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Intrinsically-Motivated Goal-Conditioned Reinforcement Learning in Multi-Agent Environments.

[BibT_eX]

[DOI]

CoRR, 2022

Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS.

[BibT_eX]

[DOI]

CoRR, 2022

Plasticity and evolvability under environmental variability: the joint role of fitness-based selection and niche-limited competition.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Socially Supervised Representation Learning: The Role of Subjectivity in Learning Efficient Representations.

[BibT_eX]

[DOI]

Julius Taylor

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Reinforcement learning-based optimization of multiple access in wireless networks.

[BibT_eX]

[DOI]

PhD thesis, 2021

Learning to Improve Representations by Communicating About Perspectives.

[BibT_eX]

[DOI]

Julius Taylor

CoRR, 2021

2020

Fast Q-Learning for Improved Finite Length Performance of Irregular Repetition Slotted ALOHA.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2020

Grounding Artificial Intelligence in the Origins of Human Behavior.

[BibT_eX]

[DOI]

CoRR, 2020

Design of Capacity-Approaching Low-Density Parity-Check Codes using Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Robust Coordinated Reinforcement Learning for MAC Design in Sensor Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2019

2018

Fast reinforcement learning for decentralized MAC optimization.

[BibT_eX]

[DOI]

CoRR, 2018

Decentralized Reinforcement Learning Based MAC Optimization.

[BibT_eX]

[DOI]