policy
In reinforcement learning, an agent's probabilistic mapping from states to actions.
Plain English Explanation
In reinforcement learning, an agent's probabilistic mapping from states to actions.
How is it used?
Practitioners refer to policy when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.