Programmatically Interpretable Reinforcement Learning
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Updated
May 20, 2021 - Python
Programmatically Interpretable Reinforcement Learning
A Racket Meta-Program Generator
A comprehensive implementation of a Neurosymbolic framework for Visual Question Answering (VQA) on the CLEVR dataset. This project translates natural language questions into symbolic programs using three different learning strategies: Supervised (LSTM & Transformer), Reinforcement Learning (REINFORCE), and In-Context Learning (LLM).
DO NOT STEAL
DPG: A DeLP program generator
Snapsite is an experimental command line tool for compiling React JS websites.
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