most cited92c/MFlops/s, Ultra-Large-Scale Neural-Network Training on a PIII Cluster

8 citations · 9 across the 3 of their papers we have counts for

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cs.LG2025

Scaling Internal-State Policy-Gradient Methods for POMDPs

Douglas Aberdeen, Jonathan Baxter

Policy-gradient methods have received increased attention recently as a mechanism for learning to act in partially observable environments. They have shown promise for problems adm…

cs.LG2019★ 8 cited

92c/MFlops/s, Ultra-Large-Scale Neural-Network Training on a PIII Cluster

Douglas Aberdeen, Jonathan Baxter, Robert Edwards

Artificial neural networks with millions of adjustable parameters and a similar number of training examples are a potential solution for difficult, large-scale pattern recognition…