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TEAM

Proof Truth

Jared Able, Hongyi Shen, Dennis Nguyen, Evgeniya Lagoda, Zhihan Li

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Can AI learn to do logic? We'll explore this question by teaching an AI to fill in gaps in mathematical proofs. After training a model on tens of thousands of mathematical proofs, we'll apply reinforcement learning methods like DQN to improve performance.

Preferable background (though not necessary if you're willing to learn!): experience with NLP, Markov chains, Monte Carlo simulations, or deep learning in general

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