Before revision:  Building on this design, we find the entropy of the behavior policies' and the target policy's are disentangled. Based on this observation, we propose a progressive closed-form entropy control mechanism, which explicitly controls the behavior policies' entropy to arbitrary range .
After revision:  Building on this design, an expectation-correct Doubly Robust Trace is introduced to learn state-value and state-action-value, and the convergence is guaranteed .