Converging to a Desired Orientation in a Flock of Agents. - Saar Cohen 001; Noa Agmon (CoRR, 2020)

Spatial Consensus-Prevention in Robotic Swarms. - Saar Cohen 001; Noa Agmon (AAMAS, 2021)

Convexified Graph Neural Networks for Distributed Control in Robotic Swarms. - Saar Cohen 001; Noa Agmon (IJCAI, 2021)

Optimizing Multi-Agent Coordination via Hierarchical Graph Probabilistic Recursive Reasoning. - Saar Cohen 001; Noa Agmon (AAMAS, 2022)

Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games. - Saar Cohen 001; Noa Agmon (AAAI, 2023)

Coalition Formation in Sequential Decision-Making under Uncertainty. - Saar Cohen 001 (AAMAS, 2023)

Online Coalitional Skill Formation. - Saar Cohen 001; Noa Agmon (AAMAS, 2023)

Near-Optimal Online Resource Allocation in the Random-Order Model. - Saar Cohen 001; Noa Agmon (AAMAS, 2024)

Online Friends Partitioning Under Uncertainty. - Saar Cohen 001; Noa Agmon (ECAI, 2024)

Online Learning of Partitions in Additively Separable Hedonic Games. - Saar Cohen 001; Noa Agmon (IJCAI, 2024)

Online Learning of Coalition Structures by Selfish Agents. - Saar Cohen 001; Noa Agmon (AAAI, 2025)

Egalitarianism in Online Coalition Formation. - Saar Cohen 001; Noa Agmon (AAMAS, 2025)

Decentralized Online Learning by Selfish Agents in Coalition Formation. - Saar Cohen 001; Noa Agmon (IJCAI, 2025)

Convexified Message-Passing Graph Neural Networks. - Saar Cohen 001; Noa Agmon; Uri Shaham 001 (CoRR, 2025)