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Porosity prediction optimization on Additive Manufacturing (AM) process optimization dataset

288.65Final Convergence ValueDQN
287.2844296.5022305.72314.9378Jun 18, 2026

Evaluation results

MethodLinks
DQNLearning Rate=1e-4, Buffer Size=1e6, Batch Size=322026.06288.65—
SACLearning Rate=3e-4, Buffer Size=1e6, Batch Size=2562026.06312.451,293
PPOLearning Rate=3e-4, Batch Size=1282026.06316.26944
TD3Learning Rate=1e-3, Buffer Size=1e6, Batch Size=1282026.06321.814
ABFE-SACLearning Rate=3e-4, Buffer Size=1e6, Batch Size=642026.06322.7914