PyTPG v0.9

Redid the API to make it much neater and removed a lot of unnecessary features, added in the option to ensure learner's bid uniqueness from mutation. Otherwise not much else changed functionally, the code is just a lot nicer to look at now. Future releases will likely include helper functions in the utils file for stuff like running TPG in a gym environment and transforming of inputs, etc. Also an optional shared memory module will be implemented too, as in https://www.researchgate.net/publication/332327816_A_Model_of_External_Memory_for_Navigation_in_Partially_Observable_Visual_Reinforcement_Learning_Tasks .

PyTPG v0.8

Making this release due to some big changes planned on being made to the code base, mainly with how trainer works, which may change how to use the API slightly or majorly. This release is basically fully functional standard TPG. Future releases to include handling multiple separate populations, and merging of those populations to take advantage of the modular and interpretable nature of TPG, for multitask reinforcement learning.