Search Results for author: Chandrasekar Subramanian

Found 1 papers, 0 papers with code

Causal Contextual Bandits with Targeted Interventions

no code implementations ICLR 2022 Chandrasekar Subramanian, Balaraman Ravindran

We study a contextual bandit setting where the learning agent has the ability to perform interventions on targeted subsets of the population, apart from possessing qualitative causal side-information.

Multi-Armed Bandits

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