% Key papers for Learning with strategic agents (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{aaai2020_reinforcement_100908, title = {{Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5600}, } @inproceedings{aaai2021_signaling_1385, title = {{Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/05252-signaling-in-bayesian-network-congestion-games-the-subtle-power-of-symmetry/}, } @inproceedings{neurips2021_gradient_63566, title = {{Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/27692}, } @inproceedings{aaai2021_agent_108, title = {{Agent Incentives: A Causal Perspective}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/11487-agent-incentives-a-causal-perspective/}, } @inproceedings{aaai2020_ltl_101417, title = {{LTLÆ’ Synthesis with Fairness and Stability Assumptions}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5704}, } @inproceedings{icml2019_learning_37499, title = {{Learning to Collaborate in Markov Decision Processes}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2019}, url = {https://icml.cc/virtual/2019/poster/3599}, } @inproceedings{aaai2022_path_2545, title = {{Path-Specific Objectives for Safer Agent Incentives}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/09529-path-specific-objectives-for-safer-agent-incentives/}, } @inproceedings{icml2020_optimally_38590, title = {{Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2020}, url = {https://icml.cc/virtual/2020/poster/6368}, } @inproceedings{neurips2019_robust_58920, title = {{Robust Multi-agent Counterfactual Prediction}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13489}, } @inproceedings{aaai2020_model_102696, title = {{Model Checking Temporal Epistemic Logic under Bounded Recall}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6193}, } @inproceedings{neurips2024_contracting_71027, title = {{Contracting with a Learning Agent}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96182}, } @inproceedings{aaai2023_formal_3716, title = {{Formal Verification of Bayesian Mechanisms}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/26373}, } @inproceedings{aaai2024_on_6821, title = {{On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29679}, } @inproceedings{neurips2020_byzantine_59490, title = {{Byzantine Resilient Distributed Multi-Task Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18031}, } @inproceedings{neurips2021_automated_63316, title = {{Automated Dynamic Mechanism Design}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/28560}, } @inproceedings{neurips2022_near_65328, title = {{Near-Optimal Multi-Agent Learning for Safe Coverage Control}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/54866}, } @inproceedings{aaai2016_learning_104773, title = {{Learning Market Parameters Using Aggregate Demand Queries}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10027}, } @inproceedings{aaai2022_prevailing_2575, title = {{Prevailing in the Dark: Information Walls in Strategic Games}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/05842-prevailing-in-the-dark-information-walls-in-strategic-games/}, } @inproceedings{aaai2023_multi_4206, title = {{Multi-Stage Facility Location Problems with Transient Agents}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25725}, } @inproceedings{aaai2024_automated_5234, title = {{Automated Design of Affine Maximizer Mechanisms in Dynamic Settings}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28819}, } @inproceedings{aaai2024_learning_6499, title = {{Learning in Online Principal-Agent Interactions: The Power of Menus}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29691}, } @inproceedings{neurips2024_multi_72114, title = {{Multi-Agent Imitation Learning: Value is Easy, Regret is Hard}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95215}, } @inproceedings{aaai2024_coalition_5412, title = {{Coalition Formation for Task Allocation Using Multiple Distance Metrics (Student Abstract)}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30421}, } @inproceedings{aaai2025_every_9032, title = {{Every Bit Helps: Achieving the Optimal Distortion with a Few Queries}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33507}, } @inproceedings{aaai2025_multi_10002, title = {{Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34852}, } @inproceedings{aaai2025_operationalising_10207, title = {{Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34837}, } @inproceedings{aaai2026_fairness_107082, title = {{Fairness Aware Reinforcement Learning via Proximal Policy Optimization}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/39434}, } @inproceedings{aaai2026_when_107818, title = {{When Natural Strategies Meet Fuzziness and Resource-Bounded Actions}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/40170}, } @inproceedings{aaai2024_natural_6742, title = {{Natural Strategic Ability in Stochastic Multi-Agent Systems}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29678}, } @inproceedings{neurips2025_lopt_78156, title = {{LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=bct6UQcsiA}, } @inproceedings{aaai2025_a_7906, title = {{A Modal Logic for Joint Abilities of Structured Strategies with Bounded Complexity}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33646}, } @inproceedings{aaai2025_mechanism_9928, title = {{Mechanism Design for Connecting Regions Under Disruptions}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33496}, } @inproceedings{aaai2025_multi_10029, title = {{Multi-Robot Task Allocation Using Global Games with Negative Feedback: The Colony Maintenance Problem}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33485}, } @inproceedings{iclr2024_online_35255, title = {{Online Information Acquisition: Hiring Multiple Agents}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/17818}, } @inproceedings{icml2025_contract_46565, title = {{Contract Design Under Approximate Best Responses}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/46004}, } @inproceedings{icml2025_learning_46984, title = {{Learning to Stop: Deep Learning for Mean Field Optimal Stopping}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45598}, } @inproceedings{icml2025_counterfactual_48303, title = {{Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/44311}, }