Neural Program Synthesis with Priority Queue Training

Neural Program Synthesis with Priority Queue Training

10 January 2018

Daniel A. Abolafia

Mohammad Norouzi

Papers citing "Neural Program Synthesis with Priority Queue Training"

17 / 17 papers shown

Title
Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics Conor F. Hayes Felipe Leno Da Silva Jiachen Yang T. Nathan Mundhenk Chak Shing Lee ... Ahmet Can Solak Thomas Desautels Daniel Faissol Brenden K. Petersen Mikel Landajuela 24 0 0 16 May 2025
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching Nan Jiang Md Nasim Yexiang Xue 42 0 0 02 Sep 2024
Vertical Symbolic Regression Nan Jiang Md Nasim Yexiang Xue 34 1 0 19 Dec 2023
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding T. Nathan Mundhenk Mikel Landajuela Ruben Glatt Claudio Santiago Daniel Faissol Brenden K. Petersen 40 87 0 29 Oct 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 24 72 0 31 Aug 2021
Improving exploration in policy gradient search: Application to symbolic optimization Mikel Landajuela Brenden K. Petersen S. K. Kim Claudio Santiago Ruben Glatt T. Nathan Mundhenk Jacob F. Pettit Daniel Faissol 25 16 0 19 Jul 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics Catherine Wong Kevin Ellis J. Tenenbaum Jacob Andreas 27 54 0 18 Jun 2021
Communicating Natural Programs to Humans and Machines Samuel Acquaviva Yewen Pu Marta Kryven Theo Sechopoulos Catherine Wong Gabrielle Ecanow Maxwell Nye Michael Henry Tessler J. Tenenbaum 38 40 0 15 Jun 2021
Neurogenetic Programming Framework for Explainable Reinforcement Learning Vadim Liventsev Aki Härmä M. Petković 18 4 0 08 Feb 2021
Guiding Deep Molecular Optimization with Genetic Exploration Sungsoo Ahn Junsup Kim Hankook Lee Jinwoo Shin 34 70 0 04 Jul 2020
A Discrete Hard EM Approach for Weakly Supervised Question Answering Sewon Min Danqi Chen Hannaneh Hajishirzi Luke Zettlemoyer 26 162 0 11 Sep 2019
Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi OffRL 54 97 0 19 Feb 2019
Generative Adversarial Self-Imitation Learning Yijie Guo Junhyuk Oh Satinder Singh Honglak Lee GAN 15 58 0 03 Dec 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 29 65 0 25 May 2018
The Three Pillars of Machine Programming Justin Emile Gottschlich Armando Solar-Lezama Nesime Tatbul Michael Carbin Martin Rinard Regina Barzilay Saman P. Amarasinghe J. Tenenbaum Tim Mattson 27 62 0 20 Mar 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhehuai Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,750 0 26 Sep 2016