Pareto UCB1 Gossip achieves O(log T) Pareto regret while Simulated NSW UCB Gossip achieves O(T^{3/4}) regret under fairness, showing the cost of the fairness constraint.
Busa-Fekete, B
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Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization
Pareto UCB1 Gossip achieves O(log T) Pareto regret while Simulated NSW UCB Gossip achieves O(T^{3/4}) regret under fairness, showing the cost of the fairness constraint.