tDiff

tdiff is an abbreviation that appears in various software contexts to denote a difference in time. It does not have a single, universal definition; its precise meaning depends on the domain, library, or program in use.

In data analysis and time-series processing, tdiff typically refers to the computed time interval between two timestamps. It may be expressed in units such as seconds, minutes, or days and is often used to align records, compute sampling intervals, or filter data by duration. Implementations may expose tdiff as a function or as a field in time-aware data structures.

In reinforcement learning, TD stands for temporal difference. While the term tdiff is not a formal standard, it is sometimes used informally to refer to temporal-difference errors or to TD-learning methods that rely on bootstrapped estimates of future rewards.

Software libraries and tools may provide a function or command named tdiff for diffing time-tagged data, or as a concise alias for a routine that computes a time delta. Because no universal standard exists, users should consult the relevant documentation for the specific tdiff implementation they are using.

Related topics include temporal difference methods, time delta calculations, and diff utilities.