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TD3+BC: a minimal behavior-regularized offline RL baseline

Contribution grade

Offline reinforcement learning · Human-designed research method or resource

Reference score110,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Added squared behavior-cloning regularization to TD3 policy updates, normalized state features and scaled the Q contribution using a stopped-gradient estimate of its magnitude.

Scientific scope

Added squared behavior-cloning regularization to TD3 policy updates, normalized state features and scaled the Q contribution using a stopped-gradient estimate of its magnitude. Uses inherited TD3 rather than inventing a new online actor-critic. Runtime and reward comparisons depend on the tested implementations and datasets. Original analysis explicitly reports inter-seed, within-policy and training-time evaluation variance, not a solved robustness guarantee.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Uses inherited TD3 rather than inventing a new online actor-critic. Runtime and reward comparisons depend on the tested implementations and datasets. Original analysis explicitly reports inter-seed, within-policy and training-time evaluation variance, not a solved robustness guarantee.

Contributors

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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