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Program Synthesis is the task of generating a program from a provided specification.
The multi-armed bandit problem: decomposition and computation
Michael N Katehakis and Arthur F Veinott Jr · 1987
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Reinforcement Learning: An Introduction
Richard Sutton and Andrew Barto · 1998
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Automated theorem proving, 2004
Frank Pfenning · 2004
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Combinatorial sketching for finite programs
Armando Solar-Lezama, Liviu Tancau, Rastislav Bodik, Sanjit Seshia, and Vijay Saraswat · 2006
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A Combined Analytical and Search-based Approach to the Inductive Synthesis of Functional Programs
Emanuel Kitzelmann · 2010
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Automating string processing in spreadsheets using input-output examples
Sumit Gulwani · 2011
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An analytical inductive functional programming system that avoids unintended programs
Susumu Katayama · 2012
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Stochastic superoptimization
Eric Schkufza, Rahul Sharma, and Alex Aiken · 2013
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Recursive program synthesis
Aws Albarghouthi, Sumit Gulwani, and Zachary Kincaid · 2013
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Complete completion using types and weights
Tihomir Gvero, Viktor Kuncak, Ivan Kuraj, and Ruzica Piskac · 2013
Cited alongside, same era.
FlashExtract: A framework for data extraction by examples
Vu Le and Sumit Gulwani · 2014
Cited alongside, same era.
The risc-v instruction set manual, volume i: User-level isa, version 2.0
Andrew Waterman, Yunsup Lee, David A. Patterson, and Krste Asanović · 2014
Cited alongside, same era.
Synthesizing data structure transformations from input-output examples
John K. Feser, Swarat Chaudhuri, and Isil Dillig · 2015
Cited alongside, same era.
Example-directed synthesis: A type-theoretic interpretation (extended version)
Jonathan Frankle, Peter-Michael Osera, David Walker, and Steve Zdancewic · 2015
Cited alongside, same era.
Terpret: A probabilistic programming language for program induction
Alexander Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, and Daniel Tarlow · 2016
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Optimizing synthesis with metasketches
James Bornholt, Emina Torlak, Dan Grossman, and Luis Ceze · 2016
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Dueling network architectures for deep reinforcement learning
Ziyu Wang, Tom Schaul, Matteo Hessel, Hado Hasselt, Marc Lanctot, and Nando Freitas · 2016
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Deep reinforcement learning with double q-learning
Hado Van Hasselt, Arthur Guez, and David Silver · 2016
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Program synthesis
Sumit Gulwani, Oleksandr Polozov, and Rishabh Singh · 2017
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Component-based synthesis of table consolidation and transformation tasks from examples
Yu Feng, Ruben Martins, Jacob Van Geffen, Isil Dillig, and Swarat Chaudhuri · 2017
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Synthesis through unification
Rajeev Alur, Pavol Černý, and Arjun Radhakrishna · 2015
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Tom Schaul, John Quan, Ioannis Antonoglou, and David Silver · 2015
Cited alongside, same era.
Deepcoder: Learning to write programs
Matej Balog, Alexander Gaunt, Marc Brockschmidt, Sebastian Nowozin, and Daniel Tarlow · 2016
Cited alongside, same era.
Adaptive neural compilation
Rudy Bunel, Alban Desmaison, Pushmeet Kohli, Philip H.S. Torr, and M. Pawan Kumar · 2016
Cited alongside, same era.
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Robustfill: Neural program learning under noisy i/o
Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju, Rishabh Singh, Abdel rahman Mohamed, and Pushmeet Kohli · 2017
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Ap: Artificial programming
Rishabh Singh and Pushmeet Kohli · 2017
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Synthesizing bijective lenses
Anders Miltner, Kathleen Fisher, Benjamin C. Pierce, David Walker, and Steve Zdancewic · 2018
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