Criticality-Based Varying Step-Number Algorithm for Reinforcement Learning. (arXiv:2201.05034v1 [cs.LG])

In the context of reinforcement learning we introduce the concept of
criticality of a state, which indicates the extent to which the choice of
action in that particular state influences the expected return. That is, a
state in which the choice of action is more likely to influence the final
outcome is considered as more critical than a state in which it is less likely
to influence the final outcome.

We formulate a criticality-based varying step number algorithm (CVS) - …

algorithm arxiv learning reinforcement learning