activity
20242026
most citedCombining LLM decision and RL action selection to improve RL policy for adaptive interventions

3 citations · 3 across the 8 of their papers we have counts for

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2 papers · 1 filter

cs.LG2024

BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings

Karine Karine, Susan A. Murphy, Benjamin M. Marlin

In settings where the application of reinforcement learning (RL) requires running real-world trials, including the optimization of adaptive health interventions, the number of epis…

cs.LG2024

StepCountJITAI: simulation environment for RL with application to physical activity adaptive intervention

Karine Karine, Benjamin M. Marlin

The use of reinforcement learning (RL) to learn policies for just-in-time adaptive interventions (JITAIs) is of significant interest in many behavioral intervention domains includi…