Algorithmic Approaches to Sequential Decision-Making and Social Epistemology
As humans, we face many decisions that require us to choose between sticking to something and giving up. This thesis uses algorithmic tools to derive insights about such decision-making problems in theoretical models, studying both near-optimal methods and outcomes of social and behavioral influences. Along the way, this thesis sheds light on what we gain and what we lose as we move from a messy and complex real world setting to a very general abstract model by studying various points along this spectrum. In Part I, we study algorithms for sequential decision-making in the improving multi-armed bandits problem. We provide nearly matching upper and lower bounds in the general case. Then, w...
| Authors | Kavya Ravichandran |
|---|---|
| Primary category | cs.DS |
| Published | 22 July 2026 |
| Last updated at source | 22 July 2026 |
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