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Generalization guides human exploration in vast decision spaces
From foraging for food to learning complex games, many aspects of human behaviour can
be framed as a search problem with a vast space of possible actions. Under finite search …
be framed as a search problem with a vast space of possible actions. Under finite search …
[کتاب][B] Passivity-based control and estimation in networked robotics
T Hatanaka, N Chopra, M Fujita, MW Spong - 2015 - Springer
Passivity is an input–output property of dynamical systems. The concept generalizes
physical systems that cannot store more energy than the energy supplied from outside the …
physical systems that cannot store more energy than the energy supplied from outside the …
Time pressure changes how people explore and respond to uncertainty
How does time pressure influence exploration and decision-making? We investigated this
question with several four-armed bandit tasks manipulating (within subjects) expected …
question with several four-armed bandit tasks manipulating (within subjects) expected …
Fast mmwave beam alignment via correlated bandit learning
Beam alignment (BA) is to ensure the transmitter and receiver beams are accurately aligned
to establish a reliable communication link in millimeter-wave (mmwave) systems. Existing …
to establish a reliable communication link in millimeter-wave (mmwave) systems. Existing …
A survey of online experiment design with the stochastic multi-armed bandit
Adaptive and sequential experiment design is a well-studied area in numerous domains. We
survey and synthesize the work of the online statistical learning paradigm referred to as multi …
survey and synthesize the work of the online statistical learning paradigm referred to as multi …
Understanding doctor decision making: The case of depression treatment
Treatment for depression is complex, requiring decisions that may involve trade‐offs
between exploiting treatments with the highest expected value and experimenting with …
between exploiting treatments with the highest expected value and experimenting with …
Distributed cooperative decision-making in multiarmed bandits: Frequentist and bayesian algorithms
We study distributed cooperative decision-making under the explore-exploit tradeoff in the
multiarmed bandit (MAB) problem. We extend state-of-the-art frequentist and Bayesian …
multiarmed bandit (MAB) problem. We extend state-of-the-art frequentist and Bayesian …
Modeling, replicating, and predicting human behavior: A survey
Given the popular presupposition of human reasoning as the standard for learning and
decision making, there have been significant efforts and a growing trend in research to …
decision making, there have been significant efforts and a growing trend in research to …
Online joint bid/daily budget optimization of internet advertising campaigns
Pay-per-click advertising includes various formats (eg, search, contextual, social) with a total
investment of more than 200 billion USD per year worldwide. An advertiser is given a daily …
investment of more than 200 billion USD per year worldwide. An advertiser is given a daily …
On distributed cooperative decision-making in multiarmed bandits
We study the explore-exploit tradeoff in distributed cooperative decision-making using the
context of the multiarmed bandit (MAB) problem. For the distributed cooperative MAB …
context of the multiarmed bandit (MAB) problem. For the distributed cooperative MAB …