A Algorithms

We could otherwise learn this model via online or offline supervised learning. The mean and standard deviation are shown. In this section, we provide detailed descriptions of each of the experimental domains featured in this work. In addition, we describe our architecture and hyperparameter choices for each setting. The agent's observation consists of two primary elements: The nethack "bottom-line stats" of the game, such as the agent's health stats, attribute levels, armor class, and The convolutions have square kernels of size 2, 2, 2, 2, 3, 3, output channels of dimension 8, 16, 32, 64, 128, 256, and stride lengths of 2, 2, 2, 2, 1, 1.