12 citations · 19 across the 4 of their papers we have counts for
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cs.LG2022
The BUTTER Zone: An Empirical Study of Training Dynamics in Fully Connected Neural Networks
Charles Edison Tripp, Jordan Perr-Sauer, Lucas Hayne +2
We present an empirical dataset surveying the deep learning phenomenon on fully-connected feed-forward multilayer perceptron neural networks. The dataset, which is now freely avail…
cs.LG2013★ 3 cited
Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs
Charles Tripp, Ross D. Shachter
We seek to learn an effective policy for a Markov Decision Process (MDP) with continuous states via Q-Learning. Given a set of basis functions over state action pairs we search for…