Meritocratic Fairness in Budgeted Combinatorial Multi-armed Bandits via Shapley Values
Fuente:
arXiv
Saved in:
| Main Authors: | Sharma, Shradha, Dhamal, Swapnil, Jain, Shweta |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits
by: Pokhriyal, Subham, et al.
Published: (2024)
by: Pokhriyal, Subham, et al.
Published: (2024)
The Multi-Stage Assignment Problem: A Fairness Perspective
by: J, Vibulan, et al.
Published: (2025)
by: J, Vibulan, et al.
Published: (2025)
Federated Combinatorial Multi-Agent Multi-Armed Bandits
by: Fourati, Fares, et al.
Published: (2024)
by: Fourati, Fares, et al.
Published: (2024)
EcoFair-CH-MARL: Scalable Constrained Hierarchical Multi-Agent RL with Real-Time Emission Budgets and Fairness Guarantees
by: Alqithami, Saad
Published: (2026)
by: Alqithami, Saad
Published: (2026)
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks
by: Biswas, Arpita, et al.
Published: (2023)
by: Biswas, Arpita, et al.
Published: (2023)
Procedural Fairness in Multi-Agent Bandits
by: Caiata, Joshua, et al.
Published: (2026)
by: Caiata, Joshua, et al.
Published: (2026)
Emergence of Fair Leaders via Mediators in Multi-Agent Reinforcement Learning
by: Dodwadmath, Akshay, et al.
Published: (2025)
by: Dodwadmath, Akshay, et al.
Published: (2025)
Lipschitz Dueling Bandits over Continuous Action Spaces
by: Sharma, Mudit, et al.
Published: (2026)
by: Sharma, Mudit, et al.
Published: (2026)
Distributed Multi-Agent Reinforcement Learning Based on Graph-Induced Local Value Functions
by: Jing, Gangshan, et al.
Published: (2022)
by: Jing, Gangshan, et al.
Published: (2022)
Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
by: Ekpo, Promise Osaine, et al.
Published: (2025)
by: Ekpo, Promise Osaine, et al.
Published: (2025)
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health
by: Behari, Nikhil, et al.
Published: (2024)
by: Behari, Nikhil, et al.
Published: (2024)
Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness
by: Parthasarathy, Ambreesh, et al.
Published: (2025)
by: Parthasarathy, Ambreesh, et al.
Published: (2025)
Beyond Shallow Behavior: Task-Efficient Value-Based Multi-Task Offline MARL via Skill Discovery
by: Wang, Xun, et al.
Published: (2025)
by: Wang, Xun, et al.
Published: (2025)
Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
by: Xu, Mengfan, et al.
Published: (2024)
by: Xu, Mengfan, et al.
Published: (2024)
VDFD: Multi-Agent Value Decomposition Framework with Disentangled World Model
by: Wang, Zhizun, et al.
Published: (2023)
by: Wang, Zhizun, et al.
Published: (2023)
Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding
by: Jain, Rishabh, et al.
Published: (2026)
by: Jain, Rishabh, et al.
Published: (2026)
In-Context Curiosity: Distilling Exploration for Decision-Pretrained Transformers on Bandit Tasks
by: Yang, Huitao, et al.
Published: (2025)
by: Yang, Huitao, et al.
Published: (2025)
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards
by: Verma, Shresth, et al.
Published: (2024)
by: Verma, Shresth, et al.
Published: (2024)
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
by: Shen, Siqi, et al.
Published: (2023)
by: Shen, Siqi, et al.
Published: (2023)
Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents
by: Gordon, Lucia, et al.
Published: (2024)
by: Gordon, Lucia, et al.
Published: (2024)
A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis
by: Sharma, Dinesh, et al.
Published: (2023)
by: Sharma, Dinesh, et al.
Published: (2023)
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
by: Wan, Xu, et al.
Published: (2025)
by: Wan, Xu, et al.
Published: (2025)
Online Relational Inference for Evolving Multi-agent Interacting Systems
by: Kang, Beomseok, et al.
Published: (2024)
by: Kang, Beomseok, et al.
Published: (2024)
Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination
by: Kailas, Siva, et al.
Published: (2025)
by: Kailas, Siva, et al.
Published: (2025)
Operationalising Rawlsian Ethics for Fairness in Norm-Learning Agents
by: Woodgate, Jessica, et al.
Published: (2024)
by: Woodgate, Jessica, et al.
Published: (2024)
Graph Attention-Guided Search for Dense Multi-Agent Pathfinding
by: Jain, Rishabh, et al.
Published: (2025)
by: Jain, Rishabh, et al.
Published: (2025)
Mathematical Framework for Custom Reward Functions in Job Application Evaluation using Reinforcement Learning
by: Jain, Shreyansh, et al.
Published: (2025)
by: Jain, Shreyansh, et al.
Published: (2025)
Multi-Agent Diagnostics for Robustness via Illuminated Diversity
by: Samvelyan, Mikayel, et al.
Published: (2024)
by: Samvelyan, Mikayel, et al.
Published: (2024)
Value Internalization: Learning and Generalizing from Social Reward
by: Rong, Frieda, et al.
Published: (2024)
by: Rong, Frieda, et al.
Published: (2024)
Innate-Values-driven Reinforcement Learning based Cooperative Multi-Agent Cognitive Modeling
by: Yang, Qin
Published: (2024)
by: Yang, Qin
Published: (2024)
Multi-Agent Path Finding via Offline RL and LLM Collaboration
by: Atasever, Merve, et al.
Published: (2025)
by: Atasever, Merve, et al.
Published: (2025)
Achieving Collective Welfare in Multi-Agent Reinforcement Learning via Suggestion Sharing
by: Jin, Yue, et al.
Published: (2024)
by: Jin, Yue, et al.
Published: (2024)
Value-Based Rationales Improve Social Experience: A Multiagent Simulation Study
by: Tzeng, Sz-Ting, et al.
Published: (2024)
by: Tzeng, Sz-Ting, et al.
Published: (2024)
Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus
by: Zhao, Zijian, et al.
Published: (2026)
by: Zhao, Zijian, et al.
Published: (2026)
Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation
by: Ma, Xiaowen, et al.
Published: (2025)
by: Ma, Xiaowen, et al.
Published: (2025)
Improve Value Estimation of Q Function and Reshape Reward with Monte Carlo Tree Search
by: Li, Jiamian
Published: (2024)
by: Li, Jiamian
Published: (2024)
Performance Prediction of Hub-Based Swarms
by: Jain, Puneet, et al.
Published: (2024)
by: Jain, Puneet, et al.
Published: (2024)
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms
by: Lalan, Arshika, et al.
Published: (2024)
by: Lalan, Arshika, et al.
Published: (2024)
Fair Compromises in Participatory Budgeting: a Multi-Agent Deep Reinforcement Learning Approach
by: Adams, Hugh, et al.
Published: (2025)
by: Adams, Hugh, et al.
Published: (2025)
QSIM: Mitigating Overestimation in Multi-Agent Reinforcement Learning via Action Similarity Weighted Q-Learning
by: Li, Yuanjun, et al.
Published: (2026)
by: Li, Yuanjun, et al.
Published: (2026)
Similar Items
-
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits
by: Pokhriyal, Subham, et al.
Published: (2024) -
The Multi-Stage Assignment Problem: A Fairness Perspective
by: J, Vibulan, et al.
Published: (2025) -
Federated Combinatorial Multi-Agent Multi-Armed Bandits
by: Fourati, Fares, et al.
Published: (2024) -
EcoFair-CH-MARL: Scalable Constrained Hierarchical Multi-Agent RL with Real-Time Emission Budgets and Fairness Guarantees
by: Alqithami, Saad
Published: (2026) -
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks
by: Biswas, Arpita, et al.
Published: (2023)