A backdoor-adjusted SAC variant that substitutes pseudo-past variables inferred from the current state for the true past marginal, with empirical gains but an unjustified causal estimator.
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Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic
A backdoor-adjusted SAC variant that substitutes pseudo-past variables inferred from the current state for the true past marginal, with empirical gains but an unjustified causal estimator.