Results 1 to 10 of about 78 (76)
Markovian Restless Bandits and Index Policies: A Review
The restless multi-armed bandit problem is a paradigmatic modeling framework for optimal dynamic priority allocation in stochastic models of wide-ranging applications that has been widely investigated and applied since its inception in a seminal paper by
JOSÉ Niño-Mora
exaly +3 more sources
The problem of rested and restless multi-armed bandits with constrained availability (RMAB-CA) of arms is considered. The states of arms evolve in Markovian manner and the exact states are hidden from the decision maker. First, some structural results on
Varun Mehta, Kesav Kaza, S N Merchant
exaly +3 more sources
A Whittle Index Approach to Minimizing Age of Multi-Packet Information in IoT Network
Age of information (AoI) captures the freshness of information and has been used broadly as an important performance metric in big data analytics in the Internet of Things (IoT).
Mianlong Chen, Kui Wu, Linqi Song
doaj +1 more source
Dynamic spectrum access using cognitive radio has many application areas like smart-grid, Internet of Things, and various other device-to-device communication paradigms.
Himanshu Agrawal, Krishna Asawa
doaj +1 more source
A Fast-Pivoting Algorithm for Whittle’s Restless Bandit Index
The Whittle index for restless bandits (two-action semi-Markov decision processes) provides an intuitively appealing optimal policy for controlling a single generic project that can be active (engaged) or passive (rested) at each decision epoch, and ...
José Niño-Mora
doaj +1 more source
Restless Video Bandits: Optimal SVC Streaming in a Multi-User Wireless Network
In this paper, we consider the problem of optimal scalable video delivery to mobile users in wireless networks given arbitrary Quality Adaptation (QA) mechanisms.
S. Amir Hosseini, Shivendra S. Panwar
doaj +1 more source
Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems
This paper develops a sequential decision-making framework called constrained restless multi-armed bandits (CRMABs) to model problems of resource allocation under uncertainty and dynamic availability constraints.
Kesav Ram Kaza +3 more
doaj +1 more source
Non-Myopic Beam Scheduling for Multiple Smart-Target Tracking in Phased Array Radar Networks
This paper addresses beam scheduling for tracking multiple smart targets in phased array radar networks, aiming to mitigate the performance degradation in previous myopic scheduling methods and enhance the tracking performance, which is measured by a ...
Yuhang Hao +5 more
doaj +1 more source
This paper designs and evaluates novel centralized sampling and scheduling policies for minimizing the average age of incorrect information (AoII) for a multi-hop network with interference constraints.
Nibin Raj, Vineeth Bala Sukumaran
doaj +1 more source
Multi-Armed Bandits in Brain-Computer Interfaces. [PDF]
Heskebeck F +2 more
europepmc +1 more source

