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Found 6 papers, 1 papers with code
reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use
The escalating prevalence of cannabis use, and associated cannabis-use disorder (CUD), poses a significant public health challenge globally.
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design
The ease of data collection and aggregation in ArchGym facilitates research in ML-aided architecture design space exploration.
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling
We use a working definition of personalization and introduce a resampling-based methodology for investigating whether the personalization exhibited by the RL algorithm is an artifact of the RL algorithm stochasticity.
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks
The goal is to plan an intervention schedule that maximizes the expected reward while satisfying budget constraints on each worker as well as fairness in terms of the load assigned to each worker.
Facilitating human-wildlife cohabitation through conflict prediction
With increasing world population and expanded use of forests as cohabited regions, interactions and conflicts with wildlife are increasing, leading to large-scale loss of lives (animal and human) and livelihoods (economic).
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems
Our contributions are as follows: (1) We derive conditions under which our problem satisfies indexability, a precondition that guarantees the existence and asymptotic optimality of the Whittle Index solution for RMABs.
