… safety constraints on the linear stochastic bandit problem. Inspired by the earlier work of
Kazerouni et al. (2017); Wu et al. (2016), the type of safety … the classic linear stochastic bandit …

… tailored to the safe linear bandit framework. The proposed algorithm, which we call the Safe
Exploration and … 3.2 Safe Linear Bandit Model In what follows, we introduce the framework of …

… the bandit’s unknown parameters at every round. In this paper, we formulate a linear stochastic
multiarmed bandit problem with safety … As such, the learner is unable to identify all safe …

… The safe linear bandit problem is a version of the classical stochastic linear bandit problem
… Lastly, we introduce a generalization of the safe linear bandit setting where the constraints …

… more challenging, setting of safe bandits. For the recently studied problem of linear bandits
with unknown linear safety constraints, we propose the first safe decentralized algorithm. Our …

… T) bounds on safety violations, thus attaining near Pareto-optimality. Further, when safety is
… These results rely on a novel dual analysis of linear bandits: we argue that DOSS proceeds …

… In this paper, we study the issue of safety in contextual linear bandits that have application
in … of safety for this class of algorithms. We develop a safe contextual linear bandit algorithm, …

… An extension to generalized linear bandit models was also introduced … safe linear stochastic
bandit problem with linear constraint. In the same work, we proposed the safe linear bandit …

… a safe action x0 is absolutely necessary for solving the constrained contextual linear bandit
… However, the assumption of knowing the expected cost of the safe action c0 can be relaxed. …

… bandit problem where the learner’s actions must satisfy an uncertain linear constraint at all
… Lastly, we introduce a generalization of the safe linear bandit setting where the constraints …