228 citations · 642 across the 22 of their papers we have counts for
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stat.ML2013★ 228 cited
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband, Daniel Russo, Benjamin Van Roy
Most provably-efficient learning algorithms introduce optimism about poorly-understood states and actions to encourage exploration. We study an alternative approach for efficient e…
cs.LG2013★ 12 cited
Learning to Optimize Via Posterior Sampling
Daniel Russo, Benjamin Van Roy
This paper considers the use of a simple posterior sampling algorithm to balance between exploration and exploitation when learning to optimize actions such as in multi-armed bandi…