[PDF] Top 20 The Sample Complexity of Exploration in the Multi-Armed Bandit Problem
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The Sample Complexity of Exploration in the Multi-Armed Bandit Problem
... the values of the biases are known but the identities of the coins are not, we provided two different tight bounds, depending on the particular criterion being used (expected versus maximum number of trials). Our results ... See full document
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On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models
... different exploration rates β(t, δ). The exploration rate we consider are: the provably-PAC rate of Robbins’ algorithm log(t/δ) (large blue symbols), the conjectured optimal exploration rate ... See full document
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Lower Bounds and Selectivity of Weak-Consistent Policies in Stochastic Multi-Armed Bandit Problem
... between exploration and ...1933). Bandit problems have initially been studied by Robbins (1952), and since then they have been applied to many fields such as economics (Lamberton et ... See full document
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Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems
... classical multi-armed bandit problem, but rather than looking at the expected regret, we develop PAC style ...limited exploration initially. Our main complexity criterion, in ... See full document
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A cost sensitive decision tree learning algorithm based on a multi armed bandit framework
... the multi-armed bandit problem, in which a player in a casino has to decide which slot machine (bandit) from a selection of slot machines is likely to pay out the ...this ... See full document
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Towards an Improved Strategy for Solving Multi Armed Bandit Problem
... Abstract: Multi-Armed Bandit (MAB) problem is one of the classical reinforcements learning problems that describe the friction between the agent’s exploration and ... See full document
5
Mechanisms with learning for stochastic multi armed bandit problems
... The multi-armed bandit (MAB) problem is a widely studied problem in machine learning litera- ture in the context of online ...bounds, exploration separated mechanisms, designing ... See full document
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Transfer restless multi armed bandit policy for energy efficient heterogeneous cellular network
... Finally, Fig. 6 shows how the network energy efficiency decreases when the number of BS increases. In that figure, the percentages of macro and micro BS are 50–50%, and the same settings than on Table 2 are used. Network ... See full document
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A multi-armed bandit approach for exploring partially observed networks
... related problem with the objective of finding as much target nodes as possible possessing a given prop- ...this problem assume that the complete graph is observable and any node can be queried to find its ... See full document
18
Optimizing Adaptive Marketing Experiments with the Multi-Armed Bandit
... impact bandit policies? On the one hand, the binomial variance is smaller for extreme rates (far from ...optimization bandit experiment for customer acquisition may have a sample size of 100,000,000 ... See full document
148
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms
... Multi-armed bandit (MAB) is a problem extensively studied in statistics and machine learn- ...the problem is formulated as a system of m arms (or machines), each having an unknown ... See full document
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Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms
... MAB problem must de- cide which arm to pull at each round t, based on the out- comes of the previous t−1 ...of problem the classical stochas- tic MAB ...pure exploration problem (Bubeck, ... See full document
8
Multi armed bandits based on a variant of simulated annealing
... where β > 0, a small constant which [10] requires to be β(T ) - a constant calculated apriori after the maximum iteration number T, i.e., k ≤ T, is set. For a finite T , a constant β would only result in approximate ... See full document
18
Adaptive Strategy for Stratified Monte Carlo Sampling
... tion 4 and 9 are more informative than the distribution-dependent results of Proposition 3 and 8, respectively, in the transitory regime, that is, when n is small compared to λ −1 min . Proposition 3 and 8 is better in ... See full document
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Multi-Armed Bandit Algorithms for a Mobile Service Robot's Spare Time in a Structured Environment
... Figure 3b shows the average best reward of each algorithm. Planning Thompson Sampling, Planning UCB1, and Random once again had the best performance and all reached about the same near-optimal reward after 150 ... See full document
13
Perceived Project Complexity in Terms of Uncertainty and RM in the Kingdom of Bahrain
... The subject of the study is based only on construction industry companies. The applied technique in this study is purpose sampling that is actually a non-probability sampling by the characteristics of the population and ... See full document
5
A multi-criteria analysis of the banking system in the Republic of Croatia
... of multi-criteria decision-ma- king in an analysis of the strategies of economic agents that are all in the same economic ...of multi-criteria decision making, which will contain a number of the different ... See full document
20
Critical appraisal of the role of fingolimod in the treatment of multiple sclerosis
... The FTY720 in Patients With Primary Progressive Multiple Sclerosis study evaluates the efficacy of fingolimod in patients with primary progressive MS, and additional stud[r] ... See full document
9
On Bandit Organizations and Their (IL)Legitimacy: Concept Development and Illustration
... According to this standpoint, the Shower Posse builds legitimacy by fostering the perception that a governmental deficit is being rectified. This bandit organization behaved as a state within a state, maintaining ... See full document
45
The Social Construction of Water Scarcity: An Exploration Study along the “Bharathapuzha” in Kerala
... Such an understanding of scarcity was less critical to the eco- nomic and technocentric solutions that policy makers and experts prescribed, which subsequently contributed to new problems of water management and ... See full document
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