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Soft Actor-Critic

model1 events
papersSEP 10 04:00 UTC

SAC's tanh squashing found to hinder bang-bang control in negative-result study

An arXiv paper examines how the tanh squashing in Soft Actor-Critic shrinks the policy gradient as actions approach their bounds, potentially starving learning when near-saturated outputs are required. The authors report a negative result, showing this throttling impedes bang-bang control tasks and driving experiments in the MetaDrive simulator. The findings point to a practical limitation of tanh-squashed Gaussian policies in continuous reinforcement learning.

reinforcement-learning/sac/negative-result/benchmark