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TS-like Algorithms for Rising Bandits by Jhon Tiahuallpa is a document available to read on EtoBox.

What is TS-like Algorithms for Rising Bandits about?

This paper investigates Thompson Sampling-like algorithms for Stochastic Rising Rested Bandits (SRRB), where expected rewards increase as arms are pulled. It introduces novel regret analyses and complexity indices to understand the performance of these algorithms in dynamic environments, providing both theoretical bounds and numerical simulations. The findings suggest that with appropriate modifications, TS-like algorithms can achieve sublinear regret in SRRB scenarios, addressing gaps in existing literatur

Author

Jhon Tiahuallpa

Language

EN