NCIC OFFLINE SEARCHES AND DISSEMINATION LOG REQUESTS An offline search is a special inquiry of NCIC for information which cannot be obtained through online inquiry and may be made against two sources of NCIC records: the NCIC database of active records and the historical data which is maintained offline on magnetic tape
Action-Free Offline-to-Online RL via Discretised State Policies Offline reinforcement learning (RL) focuses on learning effective policies entirely from a fixed dataset gathered by an unknown behaviour policy, avoiding the need for risky or costly online exploration
Offline Reinforcement Learning Construct a Pessimistic MDP (P-MDP) using the offline dataset Require a careful use of the model in regions outside of support, to ensure that policies do not visit states where the model is inaccurate
Offline Reinforcement Learning in Large State Spaces . . . This article introduces the theory of offline reinforcement learning in large state spaces, where good policies are learned from historical data without online interactions with the environment