A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.
For questions related to the linear programming optimisation technique used in the context of AI (e.g. in the context of RL, in order to solve an MDP).
For questions about use of AI to promote accessibility, in particular in regard to humans with disabilities.
For questions of the fallibility of AI strategies or systems in a particular development process or field use, such as whether a trained network will fail to achieve key objectives at the time of depl…
The attribution of human traits and qualities to non-human entities or structures. Includes emotion, intention, awareness, et al.
For questions related to the reinforcement learning algorithm called "expected SARSA" (as described in the book "Reinforcement Learning: An Introduction", by Sutton and Barto, 2nd edition).
For questions related to the "expectation-maximisation" (EM) algorithm (which is used in several contexts in AI).
For questions related to the concept of "optimal policy" in reinforcement learning.
For questions related to calculus (developed, among others, by Newton and Leibniz), in the context of AI (and, in particular, machine learning).