Research map / Bandits and online learning / Multi-armed bandits
Distributed Multi-Player Bandits - a Game of Thrones Approach
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use Game of Thrones algorithm instead of selfish UCB | distributed multi-player bandit, N=K=5 · simulation, mu uniform in [0.05, 0.95] | normalized sample mean of sum of utilities | Helped |
| use Game of Thrones algorithm instead of random arm selection | distributed multi-player bandit, N=K=5 · simulation, mu uniform in [0.05, 0.95] | normalized sample mean of sum of utilities | Helped |
| vary perturbation epsilon over 0.01, 0.001, 0.0001 (ablation) | Game of Thrones algorithm · simulation N=K=6 | sample mean of sum of utilities | No clear effect |
| vary GoT phase fraction rho (not close to 0 or 1) (ablation) | Game of Thrones algorithm · simulation | sum of utilities | No clear effect |
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