Termination Condition
Termination condition is a specific criterion that determines when a process or algorithm should stop executing.
106 plain-language definitions from the TiorAI glossary, filed under Reinforcement Learning. Every entry opens with a one-sentence definition, then explains where the term is used.
Termination condition is a specific criterion that determines when a process or algorithm should stop executing.
Time Step is the discrete interval of time used in simulations and computational models to progress the system state incrementally.
Trajectory is the path that an object follows through space as a function of time.
Tree Policy is a set of guidelines or regulations that govern the planting, maintenance, and removal of trees in a specific area to ensure environmental sustainability and community safety.
UCT is an acronym for Upper Confidence bound applied to Trees, a popular algorithm used in decision-making processes involving tree search strategies.
Update Rule is a guideline or protocol that determines how and when updates are applied to systems, content, or data to maintain accuracy and relevance.
Value function is a mathematical concept that represents the expected benefit or utility derived from different choices or states in decision-making processes.
Value Iteration is an algorithm used in reinforcement learning and decision processes to calculate the optimal policy by iteratively improving value estimates for each state.
Zero-shot learning is a machine learning approach where a model can make accurate predictions about tasks or categories it has never been explicitly trained on.
Zero-sum game is a situation in which one participant's gain is exactly balanced by another participant's loss.
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