Finite-Time Guarantees for Multi-Agent Combinatorial Bandits with Nonstationary Rewards
Fuente:
arXiv
Saved in:
| Main Authors: | Adams, Katherine B., Boutilier, Justin J., He, Qinyang, Mintz, Yonatan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization
by: Adams, Katherine B., et al.
Published: (2023)
by: Adams, Katherine B., et al.
Published: (2023)
Non-stationary Bandits with Habituation and Recovery Dynamics and Knapsack Constraints
by: He, Qinyang, et al.
Published: (2024)
by: He, Qinyang, et al.
Published: (2024)
Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics
by: Li, Fengxu, et al.
Published: (2025)
by: Li, Fengxu, et al.
Published: (2025)
Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
by: Manupriya, Piyushi, et al.
Published: (2025)
by: Manupriya, Piyushi, et al.
Published: (2025)
Explore-then-Commit for Nonstationary Linear Bandits with Latent Dynamics
by: Choi, Sunmook, et al.
Published: (2025)
by: Choi, Sunmook, et al.
Published: (2025)
Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence
by: Pulick, Eric, et al.
Published: (2026)
by: Pulick, Eric, et al.
Published: (2026)
Prescriptive Optimization for Adaptive Auto-insurance Pricing with Telematics Data
by: He, Qinyang, et al.
Published: (2026)
by: He, Qinyang, et al.
Published: (2026)
Multi-User mmWave Beam and Rate Adaptation via Combinatorial Satisficing Bandits
by: Özyıldırım, Emre, et al.
Published: (2026)
by: Özyıldırım, Emre, et al.
Published: (2026)
Multi-Agent Stage-wise Conservative Linear Bandits
by: Afsharrad, Amirhossein, et al.
Published: (2025)
by: Afsharrad, Amirhossein, et al.
Published: (2025)
Tangential Randomization in Linear Bandits (TRAiL): Guaranteed Inference and Regret Bounds
by: Güçlü, Arda, et al.
Published: (2024)
by: Güçlü, Arda, et al.
Published: (2024)
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning
by: De Lellis, Francesco, et al.
Published: (2023)
by: De Lellis, Francesco, et al.
Published: (2023)
Decentralized Upper Confidence Bound Algorithms for Homogeneous Multi-Agent Multi-Armed Bandits
by: Zhu, Jingxuan, et al.
Published: (2021)
by: Zhu, Jingxuan, et al.
Published: (2021)
Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management
by: Li, Yuanzheng, et al.
Published: (2022)
by: Li, Yuanzheng, et al.
Published: (2022)
Restless Bandit Problem with Rewards Generated by a Linear Gaussian Dynamical System
by: Gornet, Jonathan, et al.
Published: (2024)
by: Gornet, Jonathan, et al.
Published: (2024)
Probabilistic Safety Guarantee for Stochastic Control Systems Using Average Reward MDPs
by: Omidi, Saber, et al.
Published: (2025)
by: Omidi, Saber, et al.
Published: (2025)
Byzantine-Resilient Decentralized Multi-Armed Bandits
by: Zhu, Jingxuan, et al.
Published: (2023)
by: Zhu, Jingxuan, et al.
Published: (2023)
Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach
by: Pan, Huazi, et al.
Published: (2025)
by: Pan, Huazi, et al.
Published: (2025)
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems
by: Hoppe, Heiko, et al.
Published: (2023)
by: Hoppe, Heiko, et al.
Published: (2023)
An Adaptive Control Approach to Treatment Selection for Substance Use Disorders
by: Pulick, Eric, et al.
Published: (2025)
by: Pulick, Eric, et al.
Published: (2025)
An LP-based Sampling Policy for Multi-Armed Bandits with Side-Observations and Stochastic Availability
by: Soni, Ashutosh, et al.
Published: (2026)
by: Soni, Ashutosh, et al.
Published: (2026)
An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization
by: Luebsen, Jannis O., et al.
Published: (2025)
by: Luebsen, Jannis O., et al.
Published: (2025)
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)
Cost-Ordered Feasibility for Multi-Armed Bandits with Cost Subsidy
by: Juneja, Ishank, et al.
Published: (2026)
by: Juneja, Ishank, et al.
Published: (2026)
Any-Time Regret-Guaranteed Algorithm for Control of Linear Quadratic Systems
by: Chekan, Jafar Abbaszadeh, et al.
Published: (2024)
by: Chekan, Jafar Abbaszadeh, et al.
Published: (2024)
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
by: Li, Haoyu, et al.
Published: (2025)
by: Li, Haoyu, et al.
Published: (2025)
Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
Lagrangian Relaxation for Multi-Action Partially Observable Restless Bandits: Heuristic Policies and Indexability
by: Meshram, Rahul, et al.
Published: (2025)
by: Meshram, Rahul, et al.
Published: (2025)
Applications of 0-1 Neural Networks in Prescription and Prediction
by: Patil, Vrishabh, et al.
Published: (2024)
by: Patil, Vrishabh, et al.
Published: (2024)
Finite-Time Analysis of Simultaneous Double Q-learning
by: Na, Hyunjun, et al.
Published: (2024)
by: Na, Hyunjun, et al.
Published: (2024)
Learning to Sparsify Stochastic Linear Bandits
by: Wang, Zhengmiao, et al.
Published: (2026)
by: Wang, Zhengmiao, et al.
Published: (2026)
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
by: Zhang, Chenyu, et al.
Published: (2024)
by: Zhang, Chenyu, et al.
Published: (2024)
Bandit Algorithms for Deep Brain Stimulation
by: Gupta, Arkaprava, et al.
Published: (2026)
by: Gupta, Arkaprava, et al.
Published: (2026)
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise
by: Haque, Shaan Ul, et al.
Published: (2023)
by: Haque, Shaan Ul, et al.
Published: (2023)
$O(1/k)$ Finite-Time Bound for Non-Linear Two-Time-Scale Stochastic Approximation
by: Chandak, Siddharth
Published: (2025)
by: Chandak, Siddharth
Published: (2025)
Finite-Time Bounds for Two-Time-Scale Stochastic Approximation with Arbitrary Norm Contractions and Markovian Noise
by: Chandak, Siddharth, et al.
Published: (2025)
by: Chandak, Siddharth, et al.
Published: (2025)
Faster Q-Learning Algorithms for Restless Bandits
by: Kakarapalli, Parvish, et al.
Published: (2024)
by: Kakarapalli, Parvish, et al.
Published: (2024)
A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation
by: Mitra, Aritra
Published: (2024)
by: Mitra, Aritra
Published: (2024)
Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems
by: Jha, Rishi, et al.
Published: (2025)
by: Jha, Rishi, 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)
Recursively Feasible Shrinking-Horizon MPC in Dynamic Environments with Conformal Prediction Guarantees
by: Stamouli, Charis, et al.
Published: (2024)
by: Stamouli, Charis, et al.
Published: (2024)
Similar Items
-
Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization
by: Adams, Katherine B., et al.
Published: (2023) -
Non-stationary Bandits with Habituation and Recovery Dynamics and Knapsack Constraints
by: He, Qinyang, et al.
Published: (2024) -
Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics
by: Li, Fengxu, et al.
Published: (2025) -
Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
by: Manupriya, Piyushi, et al.
Published: (2025) -
Explore-then-Commit for Nonstationary Linear Bandits with Latent Dynamics
by: Choi, Sunmook, et al.
Published: (2025)