Abstract: In the cooperative multi-armed bandits problem, multiple agents cooperatively play the same multi-armed bandit game. The goal is to develop bandit algorithms with optimal group and ...

Abstract: This article considers the problem of efficient sampling for toxicity detection in competitive online video games. Video game service operators take proactive measures to detect and address ...

Teachers may have seen many similar reports like this before, so they should not stick to the rules and choose something that is just theoretical. When talking to teachers about our innovations, what ...

We study a contextual bandit setting where the agent has access to causal side information, in addition to the ability to perform multiple targeted experiments corresponding to potentially different ...

Adam Satariano and Roser Toll Pifarre interviewed more than 50 victims, families, police, government officials and other experts about Spain’s gender violence program. In a small apartment outside ...

Vector norms play a fundamental role in computer science and optimization, so there is an ongoing effort to generalize existing algorithms to settings beyond ℓ∞ and ℓp norms. We show that many online ...

Scientists have introduced a photonic reinforcement learning scheme, progressing from the static multi-armed bandit problem to a dynamic environment, using quantum interference of photons to enhance ...