Co-occurring keywords · papers mentioning both
Papers
GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits
AAAI 2026
Optimizing Urban Service Allocation with Time-Constrained Restless Bandits
AAAI 2026
Planning and Learning in Risk-Aware Restless Multi-Arm Bandits
AISTATS 2025
Global Rewards in Restless Multi-Armed Bandits
NeurIPS 2024
Whittle Index with Multiple Actions and State Constraint for Inventory Management
ICLR 2024
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
NeurIPS 2023
Networked Restless Bandits with Positive Externalities
AAAI 2023
Optimistic Whittle Index Policy: Online Learning for Restless Bandits
AAAI 2023
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health
AAAI 2023
DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs
NeurIPS 2022
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
IJCAI 2021
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
NeurIPS 2021
Collapsing Bandits and Their Application to Public Health Intervention
NeurIPS 2020
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems
NeurIPS 2019
When are Kalman-Filter Restless Bandits Indexable?
NeurIPS 2015