roosterparameter
Roosterparameter is a term that appears in informal discussions of optimization and simulation to denote a tunable scalar parameter that modulates the magnitude of updates or perturbations within an algorithm. The name is informal and not part of standard nomenclature in major journals; it is mainly found in classroom notes, blog posts, or toy models used to illustrate parameter scheduling.
In general, the roosterparameter, often denoted R, is a nonnegative real value that scales an update applied
Roosterparameter values can be static or time-dependent. Common schedules include exponential decay R_t = R_0 exp(-k t)
The concept is discussed in the contexts of gradient-based optimization, reinforcement learning, and stochastic simulation to
Because the term is informal and not standardized, definitions of the roosterparameter vary across sources. When
Learning rate, temperature in simulated annealing, exploration rate.