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ru-automated-reasoning-group's Projects

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FMCAD'20 "ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks".

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Differentiable abstract domain implementations for neural network reasoning on PyTorch

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NeurIPS'21 Differentiable Program Synthesis

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NeurlPS'23 Instructing Goal-Conditioned Agents with LTL Objectives

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CS 314 MicroCaml Lexer Parser Type Inference

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Simple and easily configurable grid world environments for reinforcement learning

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ICLR'22 Programmatic Reinforcement Learning

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TACAS'23: Verification-guided Programmatic Controller Synthesis

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PLDI 19' An Indutive Synthesis Framework for Verifiable Reinforcement Learning

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