To Go or Not to Go?—Targeting Tregs Traveling in Tumors

Folic Acid Supplementation: to Advise or not to Advise?

Approaches of Islamic Ideology to interfere or not to interfere in the area of divergence

  Introduction: The principles of the School of Natural Rights during the Age of Entitlement, i.e., the 17th and 18th centuries, regarding the centrality of human being, his freedom and self-determination, as well as the human rights recommendations and documentations designed and drafted by the international organizations during the current century and the appearance of “globalization”, the...

To Go or Not to Go: A Case for Q-Learning at Unsignalized Intersections

Autonomous driving at intersections with traffic lights and stop signs can be handled by simple rules, however unsignalized intersections remain a challenging problem. We explore the effectiveness of using Deep Q Networks to handle such problems. Combining several recent advances in Deep RL, were we able to learn policies that surpass the performance of a commonly-used rule based approach in se...

To Go or Not To Go: N-hop Congestion Notice with Experience Support for Dynamic Detouring

A dynamic detour scheme for intelligent transportation systems (ITSs) to avoid traffic congestion is proposed in this paper. When running into traffic congestion, vehicles usually can do nothing but waiting. The proposed scheme can prevent driver suffer from traffic congestion by balancing traffic flows with nhop notices method and experience-support method. Congestive information can be receiv...

To Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation

It is important for robots to be able to decide whether they can go through a space or not, as they navigate through a dynamic environment. This capability can help them avoid injury or serious damage, e.g., as a result of running into people and obstacles, getting stuck, or falling off an edge. To this end, we propose an unsupervised and a near-unsupervised method based on Generative Adversari...