Research map / Bandits and online learning / Contextual bandits and Thompson sampling
Adaptively Exploiting d-Separators with Causal Bandits
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use HAC-UCB instead of C-UCB in a conditionally benign environment | causal bandit algorithms · simulated conditionally benign environment | cumulative regret | No clear effect |
| use HAC-UCB instead of UCB in a conditionally benign environment | bandit algorithms · simulated conditionally benign environment | cumulative regret | Helped |
| use HAC-UCB instead of C-UCB when the conditionally benign property fails | causal bandit algorithms · simulated worst-case environment | cumulative regret | Helped |
| use HAC-UCB instead of UCB when the conditionally benign property fails | bandit algorithms · simulated worst-case environment | cumulative regret | Hurt |
| use Corral to combine base algorithms instead of HAC-UCB | adaptive bandit algorithms · simulated conditionally benign environment | cumulative regret | Hurt |
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