Cover Image

Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, John, Xu, Mengfan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bandit Learning in General Open Multi-agent Systems
by: Xu, Mengfan
Published: (2026)

Multi-agent Multi-armed Bandit with Fully Heavy-tailed Dynamics
by: Wang, Xingyu, et al.
Published: (2025)

Are Stochastic Multi-objective Bandits Harder than Single-objective Bandits?
by: Guan, Changkun, et al.
Published: (2026)

Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
by: Xu, Mengfan, et al.
Published: (2024)

Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
by: Liu, Jingyuan, et al.
Published: (2025)

Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits
by: Xu, Tianyi, et al.
Published: (2025)

Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models
by: Xu, Mengfan, et al.
Published: (2025)

Conformal-Style Quantile Analyses for Stochastic Bandits
by: Du, Chengyu, et al.
Published: (2026)

Procedural Fairness in Multi-Agent Bandits
by: Caiata, Joshua, et al.
Published: (2026)

A Hybrid Meta-Learning and Multi-Armed Bandit Approach for Context-Specific Multi-Objective Recommendation Optimization
by: Cunha, Tiago, et al.
Published: (2024)

Maximal Objectives in the Multi-armed Bandit with Applications
by: Ozbay, Eren, et al.
Published: (2020)

Best Group Identification in Multi-Objective Bandits
by: Shahverdikondori, Mohammad, et al.
Published: (2025)

Over-the-Air Fair Federated Learning via Multi-Objective Optimization
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)

On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)

Falcon: Fair Active Learning using Multi-armed Bandits
by: Tae, Ki Hyun, et al.
Published: (2024)

On the Regularity and Fairness of Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)

Thompson Sampling for Multi-Objective Linear Contextual Bandit
by: Park, Somangchan, et al.
Published: (2025)

MultiScale Contextual Bandits for Long Term Objectives
by: Rastogi, Richa, et al.
Published: (2025)

FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
by: Kim, Woosung, et al.
Published: (2025)

Multi-Agent Lipschitz Bandits
by: Chakraborty, Sourav, et al.
Published: (2026)

Fairness of Exposure in Online Restless Multi-armed Bandits
by: Sood, Archit, et al.
Published: (2024)

Communication-Corruption Coupling and Verification in Cooperative Multi-Objective Bandits
by: Shi, Ming
Published: (2026)

Blessings of Multiple Good Arms in Multi-Objective Linear Bandits
by: Ann, Heesang, et al.
Published: (2026)

Distributed Algorithms for Multi-Agent Multi-Armed Bandits with Collision
by: Zhou, Daoyuan, et al.
Published: (2025)

Probe-then-Commit Multi-Objective Bandits: Theoretical Benefits of Limited Multi-Arm Feedback
by: Shi, Ming
Published: (2026)

Fairness-Aware Insurance Pricing: A Multi-Objective Optimization Approach
by: Boonen, Tim J., et al.
Published: (2025)

FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation
by: Wang, Zhichao, et al.
Published: (2024)

Near-Optimal Privacy-Preserving Learning for Max-Min Fair Multi-Agent Bandits
by: Leshem, Amir
Published: (2023)

Stochastic Multi-Objective Multi-Armed Bandits: Regret Definition and Algorithm
by: Davoodi, Mansoor, et al.
Published: (2025)

Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
by: Manupriya, Piyushi, et al.
Published: (2025)

Offline Learning for Combinatorial Multi-armed Bandits
by: Liu, Xutong, et al.
Published: (2025)

Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance
by: Michailidis, Dimitris, et al.
Published: (2024)

Multi-Agent Stochastic Bandits Robust to Adversarial Corruptions
by: Ghaffari, Fatemeh, et al.
Published: (2024)

Collaborating in Multi-Armed Bandits with Strategic Agents
by: Barnea, Idan, et al.
Published: (2026)

Provably Efficient Multi-Objective Bandit Algorithms under Preference-Centric Customization
by: Cao, Linfeng, et al.
Published: (2025)

Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
by: Karl, Florian, et al.
Published: (2022)

Exploring Equity of Climate Policies using Multi-Agent Multi-Objective Reinforcement Learning
by: Biswas, Palok, et al.
Published: (2025)

Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
by: Shao, Junning, et al.
Published: (2025)

Multi-Objective Causal Bayesian Optimization
by: Bhatija, Shriya, et al.
Published: (2025)

Adaptive Sample Sharing for Multi Agent Linear Bandits
by: Cherkaoui, Hamza, et al.
Published: (2023)