Reinforcement Learning Intermediate
greedy policy
In reinforcement learning, a policy that always chooses the action with the highest expected return.
Plain English Explanation
In reinforcement learning, a policy that always chooses the action with the highest expected return.
How is it used?
Practitioners refer to greedy policy when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.