Results 11 to 20 of about 147 (138)

Opportunistic Scheduling as Restless Bandits [PDF]

open access: yesIEEE Transactions on Control of Network Systems, 2018
10 pages, 7 ...
Vivek S. Borkar   +3 more
openaire   +2 more sources

Regret Bounds for Restless Markov Bandits [PDF]

open access: yesTheoretical Computer Science, 2012
We consider the restless Markov bandit problem, in which the state of each arm evolves according to a Markov process independently of the learner's actions. We suggest an algorithm that after $T$ steps achieves $\tilde{O}(\sqrt{T})$ regret with respect to the best policy that knows the distributions of all arms.
Ronald Ortner   +3 more
openaire   +6 more sources

Approximation algorithms for restless bandit problems [PDF]

open access: yesJournal of the ACM, 2009
The restless bandit problem is one of the most well-studied generalizations of the celebrated stochastic multi-armed bandit (MAB) problem in decision theory. In its ultimate generality, the restless bandit problem is known to be PSPACE-Hard to approximate to any nontrivial factor, and little progress has been made ...
Sudipto Guha   +2 more
openaire   +3 more sources

Uncertainty and Exploration in a Restless Bandit Problem [PDF]

open access: yesTopics in Cognitive Science, 2015
Abstract Decision making in noisy and changing environments requires a fine balance between exploiting knowledge about good courses of action and exploring the environment in order to improve upon this knowledge. We present an experiment on a restless bandit task in which participants made repeated choices between options for which ...
Maarten Speekenbrink   +1 more
openaire   +3 more sources

On the computation of Whittle’s index for Markovian restless bandits [PDF]

open access: yesMathematical Methods of Operations Research, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Urtzi Ayesta   +2 more
openaire   +2 more sources

Expanding impact of mobile health programs: SAHELI for maternal and child care

open access: yesAI Magazine, Volume 44, Issue 4, Page 363-376, Winter 2023., 2023
Abstract Underserved communities face critical health challenges due to lack of access to timely and reliable information. Nongovernmental organizations are leveraging the widespread use of cellphones to combat these healthcare challenges and spread preventative awareness.
Shresth Verma   +10 more
wiley   +1 more source

Climate‐related armed conflict and communities' resistance to Rural Grazing Area settlement policy in Nigeria's Middlebelt

open access: yesConflict Resolution Quarterly, Volume 41, Issue 2, Page 121-141, Winter 2023., 2023
Abstract In Nigeria, resource contests have sparked unending ecological conflict. As a result, conflict resolution measures have been proposed to mitigate climate‐related conflict. However, the acceptance of such policies is hampered by ethnic suspicions, communities' exclusion, religious sensitivities, and a lack of political will.
John Sunday Ojo
wiley   +1 more source

Optimal Preference Satisfaction for Conflict‐Free Joint Decisions

open access: yesComplexity, Volume 2023, Issue 1, 2023., 2023
When presented with multiple choices, we all have a preference; we may suffer loss because of conflicts arising from identical selections made by other people if we insist on satisfying only our preferences. Such a scenario is applicable when a choice cannot be divided into multiple pieces owing to the intrinsic nature of the resource.
Hiroaki Shinkawa   +6 more
wiley   +1 more source

Networked Restless Bandits with Positive Externalities

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2023
Restless multi-armed bandits are often used to model budget-constrained resource allocation tasks where receipt of the resource is associated with an increased probability of a favorable state transition. Prior work assumes that individual arms only benefit if they receive the resource directly.
Christine Herlihy, John P. Dickerson
openaire   +2 more sources

Distributed reinforcement learning for dynamic spectrum allocation in cognitive radio‐based internet of things

open access: yesIET Networks, Volume 11, Issue 6, Page 207-220, November 2022., 2022
Abstract Cognitive Radio (CR) with other advancements such as the Internet of things and machine learning has recently emerged as the main involved technique to use spectrum in an efficient manner. It can access the spectrum in a fully dynamic way and exploit the unused spectrum resources without creating any harm to cognitive users. In this paper, the
Jamal Elhachmi
wiley   +1 more source

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