SCQ: Stabilizing Conservative Q-Learning with Sigmoid-Bounded Entropy
This work introduces SCQ (Sigmoid-Bounded Conservative Q-Learning), which replaces this term with a sigmoid-bounded formulation that stays strictly positive, stabilizing policy optimization without sacrificing exploration.
Xie-Feng Wu, Shu Zhang, Zhao-Jie Chu et al.
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