A major limitation of online reinforcement learning (RL) implementations applied to AI-specific environments (or systems)—most of which run in a simulation-based context - is the difficulty to ...

Asynchronous learning is gradually becoming a favorable learning module because it is learner-centric, self-paced, cost-effective, and location-independent. Learners can not only gain access to ...