The ability to perform effective planning is crucial for building an instructionfollowing agent.

Reinforcement Learning agent and a configurator that can modify some environmental parameters to improve the agent's performance.

Manyimportant questions posed in the natural and social sciences are causal in nature:What are the long-term effects of mild Covid-19 infection on lung and brain functions?

Dataset (1)consists ofvarious lines in the image at a discrete set of angles, and the classification task is to detect the angle of 14 the line. Some images from the test set ofclasses 80 and 100 are multiplied with apermutation matrix to randomly permute rows and columns.

RNNPool can be applied to any tensor structuredproblem,butwefocuson2Dimages for ease of exposition.

In contrast, we use 10% of the training set9 for validation, and treat the validation set as apurely held-out test set (this also means that we train on less data).10 Wewillexplainthismoreclearly.30 both spheres are sufficiently tiny (i.e.

This protocol is often regarded as a "golden compass" for navigating SoT A detectors. But can these stand-out "winners" be