Research map / Bandits and online learning / Contextual bandits and Thompson sampling
Causal Bandits with Propagating Inference
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the proposed causal-graph algorithm for arbitrary interventions instead of general best-arm identification | Causal bandit · Causal bandit with arbitrary interventions | simple regret: O\left( \sqrt{\frac{ \max\{\gamma^*, N\} \log(|\mathcal{A}|T)}{T}} \right); general best-arm lower bound: \Omega(\sqrt{| | Helped |
| Bounded in-degree causal graph | Causal Bandit · Causal bandit with bounded in-degree | simple regret upper bound: \gamma^* = O(N^2) | Helped |
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