International audienceThe multi-armed restless bandit framework allows to model a wide variety of decision-making problems in areas as diverse as industrial engineering, computer communication, operations research, financial engineering, communication networks etc. In a seminal work, Whittle developed a methodology to derive well-performing (Whittle's) index policies that are obtained by solving a relaxed version of the original problem. However, the computation of Whittle's index itself is a difficult problem and hence researchers focused on calculating Whittle's index numerically or with a problem dependent approach. In our main contribution we derive an analytical expression for Whittle's index for any Markovian bandit with both finite a...
This article considers an important class of discrete time restless bandits, given by the discounted...
We show that if performance measures in a stochastic scheduling problem satisfy a set of so-called p...
We evaluate the performance of Whittle index policy for restless Markovian bandits, when the number ...
International audienceIn this paper we study a Multi-Armed Restless Bandit Problem (MARBP) subject t...
In 1988 Whittle introduced an important but intractable class of restless bandit problems which gene...
We consider a restless multiarmed bandit in which each arm can be in one of two states. When an arm ...
International audienceWe develop a unifying framework to obtain efficient index policies for restles...
The Whittle index [P. Whittle (1988). Restless bandits: Activity allocation in a changing world. J. ...
Whittle index is a generalization of Gittins index that provides very efficient allocation rules for...
Whittle index is a generalization of Gittins index that provides very efficient allocation rules for...
Abstract. In the classical bandit problem, the arms of a slot machine are always available. This pap...
Markovian bandits are a subclass of multi-armed bandit problems where one has to activate a set of a...
In this paper, we consider a general observation model for restless multi-armed bandit problems. The...
International audience- Whittle index policy is an asymptotically optimal heuristic for solving Rest...
We consider the multi-armed restless bandit problem (RMABP) with an infinite horizon average cost ob...
This article considers an important class of discrete time restless bandits, given by the discounted...
We show that if performance measures in a stochastic scheduling problem satisfy a set of so-called p...
We evaluate the performance of Whittle index policy for restless Markovian bandits, when the number ...
International audienceIn this paper we study a Multi-Armed Restless Bandit Problem (MARBP) subject t...
In 1988 Whittle introduced an important but intractable class of restless bandit problems which gene...
We consider a restless multiarmed bandit in which each arm can be in one of two states. When an arm ...
International audienceWe develop a unifying framework to obtain efficient index policies for restles...
The Whittle index [P. Whittle (1988). Restless bandits: Activity allocation in a changing world. J. ...
Whittle index is a generalization of Gittins index that provides very efficient allocation rules for...
Whittle index is a generalization of Gittins index that provides very efficient allocation rules for...
Abstract. In the classical bandit problem, the arms of a slot machine are always available. This pap...
Markovian bandits are a subclass of multi-armed bandit problems where one has to activate a set of a...
In this paper, we consider a general observation model for restless multi-armed bandit problems. The...
International audience- Whittle index policy is an asymptotically optimal heuristic for solving Rest...
We consider the multi-armed restless bandit problem (RMABP) with an infinite horizon average cost ob...
This article considers an important class of discrete time restless bandits, given by the discounted...
We show that if performance measures in a stochastic scheduling problem satisfy a set of so-called p...
We evaluate the performance of Whittle index policy for restless Markovian bandits, when the number ...