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random_forest_cluster
random_forest_cluster PublicA clustering algorithm, where a forest of shallow trees are trained on random subsets of the features. Points are clustered together according to how often they end up on the same leaf.
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regret_descent
regret_descent PublicA decoration on any gradient-based optimization algorithm. Optimization parameters (e.g. learning rate) are updated after each step toward what we might have wished them to be for the last step. Pr…
Python
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impact_measure
impact_measure PublicPreliminary inquiry in impact measures for RL agents within MDPs. See Amodei, et al., (2016) for an introducton to the topic.
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predict_slow_algorithm
predict_slow_algorithm PublicTakes a series that is being extended slowly, and approximates the value to be expected a few iterations in the future. Could potentially be used to speed up an optimization procedure, for example.
Python
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truth_table_neural_net
truth_table_neural_net PublicThis never succeeded in outperforming a basic neural net, and took significantly longer to train. A neural network with the capacity for "truth table layers" is implemented here.
Python
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