They firmly contended that offline information allows individuals greater control over their content, a critical consideration in an era where digital data can be tampered with and exploited.

So, it is not just about having the OER and providing access to them offline, but it is also about how teachers mediate engagement with those resources, taking into account the environment in which …

Accelerating Online Reinforcement Learning with Offline Datasets. ‘20 Kumar, Zhou, Tucker, Levine. Conservative Q-Learning for Offline Reinforcement Learning. ‘20 Fu, Kumar, Nachum Tucker, Levine.

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.

LWC Offline is an advanced runtime environment for Lightning web components. Available only for mobile devices, it replaces the standard Lightning components runtime, and augments it with …

Effective offline RL algorithms have a much wider range of applications than online RL, being particularly appealing for real-world applications, such as education, healthcare, and robotics. In this work, we …

Solutions to the offline RL problem (implicit) Conservative Q-Learning (CQL) Kumar et al. Conservative Q-Learning for Offline RL, 2020