Is Offline Decision Making Possible with Only Few Samples? Reliable Decisions in Data-Starved Bandits via Trust Region Enhancement

We propose an algorithm that could learn a stochastic policy in offline Multi-armed bandit in the data-starved case, where there are only a few samples for each arm.