Program synthesis using deduction-guided reinforcement learning
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Publication:2226760
DOI10.1007/978-3-030-53291-8_30zbMath1478.68054OpenAlexW3043557120MaRDI QIDQ2226760
Yanju Chen, Chenglong Wang, Isil Dillig, Yu Feng, Osbert Bastani
Publication date: 9 February 2021
Full work available at URL: https://doi.org/10.1007/978-3-030-53291-8_30
Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.) (68N30)
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Deductive synthesis of programs with pointers: techniques, challenges, opportunities (invited paper) ⋮ Iterative genetic improvement: scaling stochastic program synthesis ⋮ Defining behaviorizeable relations to enable inference in semi-automatic program synthesis
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