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Disentangling Exploration from Exploitation / Alessandro Lizzeri, Eran Shmaya, Leeat Yariv.
- Format:
- Book
- Author/Creator:
- Lizzeri, Alessandro.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w32424.
- NBER working paper series no. w32424
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2024.
- Summary:
- Starting from Robbins (1952), the literature on experimentation via multi-armed bandits has wed exploration and exploitation. Nonetheless, in many applications, agents' exploration and exploitation need not be intertwined: a policymaker may assess new policies different than the status quo; an investor may evaluate projects outside her portfolio. We characterize the optimal experimentation policy when exploration and exploitation are disentangled in the case of Poisson bandits, allowing for general news structures. The optimal policy features complete learning asymptotically, exhibits lots of persistence, but cannot be identified by an index à la Gittins. Disentanglement is particularly valuable for intermediate parameter values.
- Notes:
- Print version record
- May 2024.
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