% Key papers for Intrinsic-reward exploration for MARL (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2019_social_37746,
  title = {{Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3608},
}

@inproceedings{neurips2019_liir_58452,
  title = {{LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13595},
}

@inproceedings{neurips2021_episodic_62704,
  title = {{Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27715},
}

@inproceedings{icml2021_cooperative_39176,
  title = {{Cooperative Exploration for Multi-Agent Deep Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8947},
}

@inproceedings{aaai2023_subspace_4745,
  title = {{Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26384},
}

@inproceedings{neurips2020_promoting_60628,
  title = {{Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17238},
}

@inproceedings{aaai2024_fox_6033,
  title = {{FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29196},
}

@inproceedings{neurips2024_randomized_70674,
  title = {{Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96449},
}

@inproceedings{aaai2024_settling_7325,
  title = {{Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29693},
}

@inproceedings{icml2021_continuous_39170,
  title = {{Continuous Coordination As a Realistic Scenario for Lifelong Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8975},
}

@inproceedings{iclr2020_influence_29300,
  title = {{Influence-Based Multi-Agent Exploration}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=BJgy96EYvr},
}

@inproceedings{iclr2022_ligs_31015,
  title = {{LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6617},
}

@inproceedings{aaai2024_imagine_6275,
  title = {{Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29698},
}

@inproceedings{neurips2022_distributional_63885,
  title = {{Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54931},
}

@inproceedings{neurips2022_spd_65753,
  title = {{SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55115},
}

@inproceedings{neurips2023_differ_67161,
  title = {{DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72548},
}

@inproceedings{neurips2023_two_67174,
  title = {{Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72536},
}

@inproceedings{neurips2024_measuring_74531,
  title = {{Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93051},
}

@inproceedings{aaai2025_air_7975,
  title = {{AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34454},
}

@inproceedings{aaai2025_learning_9735,
  title = {{Learning Joint Behaviors with Large Variations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34491},
}

@inproceedings{icml2024_individual_45812,
  title = {{Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32640},
}

@inproceedings{icml2025_enhancing_47406,
  title = {{Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45186},
}

@inproceedings{neurips2025_wonder_74834,
  title = {{Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=1fOGTbO5Sx},
}

@inproceedings{neurips2026_the_95188,
  title = {{The Horizon Threshold in Cooperative Multi-Agent Reward-Free Exploration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/149477},
}

@inproceedings{aaai2026_causality_106764,
  title = {{Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39071},
}

@inproceedings{icml2026_iec_50802,
  title = {{IEC: When Information-Driven Exploration Meets Spectral Consensus via Primal–Dual Reward Regularization in Decentralized Multi-Agent RL}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=FsKoSE1xq8},
}

@inproceedings{iclr2025_toward_82555,
  title = {{Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29242},
}

@inproceedings{neurips2026_mind_91774,
  title = {{Mind the Gap: Information Disadvantage as a Learning Signal in Cooperative MARL}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/154578},
}

@inproceedings{neurips2026_semantic_94338,
  title = {{Semantic-level Exploration for Multi-Agent Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152298},
}

@inproceedings{aaai2026_tmae_107413,
  title = {{TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39765},
}