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  1. random_forest_cluster random_forest_cluster Public

    A 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.

    Python 8 2

  2. regret_descent regret_descent Public

    A 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

  3. impact_measure impact_measure Public

    Preliminary inquiry in impact measures for RL agents within MDPs. See Amodei, et al., (2016) for an introducton to the topic.

  4. predict_slow_algorithm predict_slow_algorithm Public

    Takes 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

  5. truth_table_neural_net truth_table_neural_net Public

    This 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