Learning Compositional Neural Programs with Recursive Tree Search and Planning

Thomas Pierrot, Guillaume Ligner, Scott E. Reed, Olivier Sigaud, Nicolas Perrin 0001, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas. Learning Compositional Neural Programs with Recursive Tree Search and Planning. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 14646-14656, 2019. [doi]

@inproceedings{PierrotLRS0LKBF19,
  title = {Learning Compositional Neural Programs with Recursive Tree Search and Planning},
  author = {Thomas Pierrot and Guillaume Ligner and Scott E. Reed and Olivier Sigaud and Nicolas Perrin 0001 and Alexandre Laterre and David Kas and Karim Beguir and Nando de Freitas},
  year = {2019},
  url = {http://papers.nips.cc/paper/9608-learning-compositional-neural-programs-with-recursive-tree-search-and-planning},
  researchr = {https://researchr.org/publication/PierrotLRS0LKBF19},
  cites = {0},
  citedby = {0},
  pages = {14646-14656},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}