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* Init new branch * Added: * Action object: For validating action sizes / dims, bundling important info * State: For validating state sizes / dims, bundling important info * Bounds: For determining the dtypes of its parent object, and determining if the object is discrete * Initial mass refactor of MDPDataset * Max Step expectation * Fixed: * MDPDataset episode iteration Notes: * Plan to add a generic MDPStep list validation function. A few things to expect: - There should never be 2 "done" steps in a row - Right after a done step, the step counter should show 0. - There should never be Nones in the state values. - Need to check for bad copies * Added: * WrapperLossFunc for compatibility with the existing fastai fit function * native fastai fit function compatibility :)))))))) * Single Learner that subclasses fastai Learner Notes: * Next Commit will have the old code removed * Fixed: * Memory handler. For now keeping k top. Less confusing implementation. * Removed old code Notes: * Need to now revise the DQN's and DDPG's to be compatible. * Fixed: * DDPG compat * Other DQN compat Removed: * nn and cnn generic functions for now. They were just way too confusing :( . The DDPG works now also. * Interpreter test code. Notes: * Interpreter is broken for now * Redo Tests
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