Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction

8 February 2018

Papers citing "Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction"

2 / 2 papers shown

Title
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
Learning Compositional Neural Programs with Recursive Tree Search and Planning Thomas Pierrot Guillaume Ligner Scott E. Reed Olivier Sigaud Nicolas Perrin Alexandre Laterre David Kas Karim Beguir Nando de Freitas 41 41 0 30 May 2019