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TD-FALCON is a fusion architecture that incorporates temporal difference methods and self-organizing neural networks for reinforcement learning with delayed rewards. It learns by creating cognitive codes across sensory input, actions, and rewards.

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Manifest-Version: 1.0
Archiver-Version: Plexus Archiver
Built-By: memeanalytics
Created-By: Apache Maven
Build-Jdk: 1.8.0_45