AWhat changed
Combined clipped double-critic targets, delayed policy updates and target-action smoothing to reduce approximation-error amplification in deterministic actor-critic control.
Scientific scope
Combined clipped double-critic targets, delayed policy updates and target-action smoothing to reduce approximation-error amplification in deterministic actor-critic control. Double Q-learning and DDPG are inherited. Clipped targets can introduce underestimation, and finite-benchmark improvements do not establish universal dominance or convergence.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Double Q-learning and DDPG are inherited. Clipped targets can introduce underestimation, and finite-benchmark improvements do not establish universal dominance or convergence.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
- Addressing Function Approximation Error in Actor-Critic Methods
- Fujimoto et al.: TD3 clipped critics and delayed policy updates — author/institution implementation
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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