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Neural inductive program synthesis is a task generating instructions that can produce desired outputs from given inputs.
Neural fitted q iteration–first experiences with a data efficient neural reinforcement learning method
Martin Riedmiller · 2005
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Efficient selectivity and backup operators in monte-carlo tree search
Rémi Coulom · 2006
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x86 Instruction Set Architecture
Tom Shanley · 2010
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Automating string processing in spreadsheets using input-output examples
Sumit Gulwani · 2011
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A survey of monte carlo tree search methods
Cameron B Browne, Edward Powley, Daniel Whitehouse, Simon M Lucas, Peter I Cowling, Philipp Rohlfshagen, Stephen Tavener, Diego Perez, Spyridon Samothrakis, and Simon Colton · 2012
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A machine learning framework for programming by example
Aditya Menon, Omer Tamuz, Sumit Gulwani, Butler Lampson, and Adam Kalai · 2013
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Playing atari with deep reinforcement learning
Mnih Volodymyr, Koray Kavukcuoglu, David Silver, Alex Graves, and Ioannis Antonoglou · 2013
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Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Inferring algorithmic patterns with stack-augmented recurrent nets
Armand Joulin and Tomas Mikolov · 2015
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Łukasz Kaiser and Ilya Sutskever · 2015
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Karol Kurach, Marcin Andrychowicz, and Ilya Sutskever · 2015
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Neural programmer-interpreters
Scott Reed and Nando De Freitas · 2015
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Trust region policy optimization
John Schulman, Sergey Levine, Pieter Abbeel, Michael Jordan, and Philipp Moritz · 2015
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Deepcoder: Learning to write programs
M Balog, AL Gaunt, M Brockschmidt, S Nowozin, and D Tarlow · 2017
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Program synthesis
Sumit Gulwani, Oleksandr Polozov, Rishabh Singh, et al · 2017
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A syntactic neural model for general-purpose code generation
Pengcheng Yin and Graham Neubig · 2017
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Learning to represent programs with graphs
Miltiadis Allamanis, Marc Brockschmidt, and Mahmoud Khademi · 2018
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Leveraging grammar and reinforcement learning for neural program synthesis
Rudy Bunel, Matthew Hausknecht, Jacob Devlin, Rishabh Singh, and Pushmeet Kohli · 2018
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Retrieval-based neural code generation
Shirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, and Graham Neubig · 2018
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Aditya Desai, Sumit Gulwani, Vineet Hingorani, Nidhi Jain, Amey Karkare, Mark Marron, Subhajit Roy, et al · 2016
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Hybrid computing using a neural network with dynamic external memory
Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwińska, Sergio Gómez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou, et al · 2016
Cited alongside, same era.
Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
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Neuro-symbolic program synthesis
Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, and Pushmeet Kohli · 2016
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Neural-guided deductive search for real-time program synthesis from examples
Ashwin Kalyan, Abhishek Mohta, Oleksandr Polozov, Dhruv Batra, Prateek Jain, and Sumit Gulwani · 2018
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Recent advances in neural program synthesis
Neel Kant · 2018
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