In addition, we examine two common computation frameworks for this problem, i.e., population-based training (PBT) and iterative learning

We also introduce a novel baseline algorithm tailored for the inherent hierarchical action space of the game.

Detecting and correcting bias is challenging, as ratings are subjective and unverifiable. Unlike previous works relying on prior knowledge or historical data, we propose a one-shot noise calibration process without any prior information.

Alexa Arena features multi-room layouts and an abundance of interactable objects.

Artificial intelligence (AI) systems possess significant potential to drive societal progress. However, their deployment often faces obstacles due to substantial safety concerns.