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Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards
In our nonstationary environment, variations in the base arms' distributions, causal relationships between rewards, or both, change the reward generation process.
Linear Combinatorial Semi-Bandit with Causally Related Rewards
The objective is to maximize the long-term average payoff, which is a linear function of the base arms' rewards and depends strongly on the network topology.
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