In reinforcement learning, off-policy learning approaches iteratively evaluate and improve a policy that is different from the current policy to evaluate if the other policy is better for enabling an agent to achieve the desired rewards.
Glossary of Artificial Intelligence (AI), Machine Learning (ML), and Big Data Terms
Off-policy Learning Algorithm
