MetaBox offers a flexible algorithmic template that allows users to effortlessly implement their unique designs within the platform.

This supplementary content is mainly organized in the order of being referenced in the main manuscript. The architectures of the R networks are shown in Table 3. The training curve is shown in Figure 1. B.1 Where is the secret image encoded? Is every channel equally important?

Humans perceive multisensory signals via seeing, hearing, touching, etc., and obtain multimodal information while exploring the surrounding environments.

A standard solution to speed up the process is to leverage additional reward signals, shaping it to better guide the learning process.

Methods for social gaze prediction in the literature adopt one of two approaches.

Thetwoindependent modelsleadtothenon-end-to-end pipeline, or called two-stage pipeline. Moreover, the human detector involves extra memory as well as computational cost. The bottom-up strategy [16, 17, 18, 19] uses the keypoint heatmap to locate all person keypoints at first and then assigns them to individuals via heuristic grouping process,asshowninFigure1(a).

While this is not close to the state-of-the-art in general (c.f. Figure 2 shows the effect of action entropy on exploratory behavior in Montezuma's Revenge. Number of unique avatar positions visited. Full training curves across all 6 Atari games are shown in Figure 1, including the random policy baseline. To ensure this didn't hamper performance, we At each state visited by the agent evaluator during training, the agent's state (consisting of the avatar's The full curves are included for completeness. The compute cluster we performed experiments on is heterogenous, and has features such as host-sharing, adaptive load-balancing, etc.