8 citations · 9 across the 3 of their papers we have counts for
3 papers
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.PF2019★ 1 cited
General Matrix-Matrix Multiplication Using SIMD features of the PIII
Douglas Aberdeen, Jonathan Baxter
Generalised matrix-matrix multiplication forms the kernel of many mathematical algorithms. A faster matrix-matrix multiply immediately benefits these algorithms. In this paper we i…
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…