Decentralized Reinforcement Learning Based MAC Optimization. - Eleni Nisioti; Nikolaos Thomos (PIMRC, 2018)

Fast reinforcement learning for decentralized MAC optimization. - Eleni Nisioti; Nikolaos Thomos (CoRR, 2018)

Robust Coordinated Reinforcement Learning for MAC Design in Sensor Networks. - Eleni Nisioti; Nikolaos Thomos (IEEE J. Sel. Areas Commun., 2019)

Design of Capacity-Approaching Low-Density Parity-Check Codes using Recurrent Neural Networks. - Eleni Nisioti; Nikolaos Thomos (CoRR, 2020)

Grounding Artificial Intelligence in the Origins of Human Behavior. - Eleni Nisioti; Clément Moulin-Frier (CoRR, 2020)

Fast Q-Learning for Improved Finite Length Performance of Irregular Repetition Slotted ALOHA. - Eleni Nisioti; Nikolaos Thomos (IEEE Trans. Cogn. Commun. Netw., 2020)

Learning to Improve Representations by Communicating About Perspectives. - Julius Taylor; Eleni Nisioti; Clément Moulin-Frier (CoRR, 2021)

Reinforcement learning-based optimization of multiple access in wireless networks. - Eleni Nisioti (2021)

Socially Supervised Representation Learning: The Role of Subjectivity in Learning Efficient Representations. - Julius Taylor; Eleni Nisioti; Clément Moulin-Frier (AAMAS, 2022)

Plasticity and evolvability under environmental variability: the joint role of fitness-based selection and niche-limited competition. - Eleni Nisioti; Clément Moulin-Frier (GECCO, 2022)

Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS. - Eleni Nisioti; Matéo Mahaut; Pierre-Yves Oudeyer; Ida Momennejad; Clément Moulin-Frier (CoRR, 2022)

Intrinsically-Motivated Goal-Conditioned Reinforcement Learning in Multi-Agent Environments. - Elías Masquil; Gautier Hamon; Eleni Nisioti; Clément Moulin-Frier (CoRR, 2022)

Autotelic Reinforcement Learning in Multi-Agent Environments. - Eleni Nisioti; Elías Masquil; Gautier Hamon; Clément Moulin-Frier (CoLLAs, 2023)

Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments. - Gautier Hamon; Eleni Nisioti; Clément Moulin-Frier (GECCO Companion, 2023)

Dynamics of niche construction in adaptable populations evolving in diverse environments. - Eleni Nisioti; Clément Moulin-Frier (CoRR, 2023)

Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning. - Richard Bornemann; Gautier Hamon; Eleni Nisioti; Clément Moulin-Frier (CoRR, 2023)

Evolving Reservoirs for Meta Reinforcement Learning. - Corentin Léger; Gautier Hamon; Eleni Nisioti; Xavier Hinaut; Clément Moulin-Frier (EvoApplications@EvoStar, 2024)

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)

Evolving Self-Assembling Neural Networks: From Spontaneous Activity to Experience-Dependent Learning. - Erwan Plantec; Joachin Winther Pedersen; Milton L. Montero; Eleni Nisioti; Sebastian Risi (CoRR, 2024)

Collective Innovation in Groups of Large Language Models. - Eleni Nisioti; Sebastian Risi; Ida Momennejad; Pierre-Yves Oudeyer; Clément Moulin-Frier (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)