{"total":31,"rows":[{"id":"2110.15781","title":"Two-sided fairness in rankings via Lorenz dominance","created":"2021-10-28","cited_by_count":28,"area":null},{"id":"2509.10147","title":"Virtual Agent Economies","created":"2025-09-12","cited_by_count":21,"area":null},{"id":"2206.04101","title":"What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective","created":"2022-06-08","cited_by_count":18,"area":null},{"id":"2205.10032","title":"Survey on Fair Reinforcement Learning: Theory and Practice","created":"2022-05-20","cited_by_count":14,"area":null},{"id":"2204.06521","title":"Optimizing generalized Gini indices for fairness in rankings","created":"2022-04-02","cited_by_count":13,"area":null},{"id":"2208.12584","title":"Socially Fair Reinforcement Learning","created":"2022-08-26","cited_by_count":13,"area":null},{"id":"2303.08516","title":"Fair Off-Policy Learning from Observational Data","created":"2023-03-15","cited_by_count":11,"area":null},{"id":"2109.03150","title":"Recommendation Fairness: From Static to Dynamic","created":"2021-09-05","cited_by_count":10,"area":null},{"id":"2306.09995","title":"Fairness in Preference-based Reinforcement Learning","created":"2023-06-16","cited_by_count":9,"area":null},{"id":"2106.05727","title":"Cooperative Multi-Agent Fairness and Equivariant Policies","created":"2021-06-10","cited_by_count":8,"area":null},{"id":"2306.00324","title":"Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning","created":"2023-06-01","cited_by_count":8,"area":null},{"id":"2301.08987","title":"Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors","created":"2023-01-21","cited_by_count":7,"area":null},{"id":"2406.13201","title":"Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach","created":"2024-06-19","cited_by_count":6,"area":null},{"id":"2102.10616","title":"Dealing with Non-Stationarity in MARL via Trust-Region Decomposition","created":"2021-02-21","cited_by_count":5,"area":null},{"id":"2305.10091","title":"Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges","created":"2023-05-17","cited_by_count":5,"area":null},{"id":"2306.08419","title":"Mediated Multi-Agent Reinforcement Learning","created":"2023-06-14","cited_by_count":5,"area":null},{"id":"2210.00882","title":"MSRL: Distributed Reinforcement Learning with Dataflow Fragments","created":"2022-10-03","cited_by_count":4,"area":null},{"id":"2502.04281","title":"DECAF: Learning to be Fair in Multi-agent Resource Allocation","created":"2025-02-06","cited_by_count":4,"area":null},{"id":"2206.01451","title":"Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game","created":"2022-06-03","cited_by_count":2,"area":null},{"id":"2209.10860","title":"SCALES: From Fairness Principles to Constrained Decision-Making","created":"2022-09-22","cited_by_count":2,"area":null},{"id":"2502.08542","title":"Beyond Predictions: A Participatory Framework for Multi-Stakeholder Decision-Making","created":"2025-02-12","cited_by_count":2,"area":null},{"id":"2303.09027","title":"Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning","created":"2023-03-16","cited_by_count":1,"area":null},{"id":"2311.01609","title":"Responsible Emergent Multi-Agent Behavior","created":"2023-11-02","cited_by_count":1,"area":null},{"id":"2412.15163","title":"Operationalising Rawlsian Ethics for Fairness in Norm-Learning Agents","created":"2024-12-19","cited_by_count":1,"area":null},{"id":"2504.01154","title":"Past-Discounting is Key for Learning Markovian Fairness with Long Horizons","created":"2025-04-01","cited_by_count":1,"area":null},{"id":"2411.09804","title":"Fair Resource Allocation in Weakly Coupled Markov Decision Processes","created":"2024-11-14","cited_by_count":0,"area":null},{"id":"2502.18534","title":"MAFE: Enabling Equitable Algorithm Design in Multi-Agent Multi-Stage Decision-Making Systems","created":"2025-02-25","cited_by_count":0,"area":null},{"id":"2510.26740","title":"A General Incentives-Based Framework for Fairness in Multi-agent Resource Allocation","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2511.10501","title":"Graph Neural Networks, Deep Reinforcement Learning and Probabilistic Topic Modeling for Strategic Multiagent Settings","created":"2025-11-13","cited_by_count":0,"area":null},{"id":"2607.17311","title":"The Optimization Trilemma: Efficiency, Comfort and Fairness in Decentralized Multi-agent Coordination","created":"2026-07-19","cited_by_count":0,"area":null},{"id":"2608.00175","title":"Inference-Time Policy Alignment for Fair Reinforcement Learning","created":"2026-07-31","cited_by_count":0,"area":null}],"next_cursor":null}