Deal or No Deal? End-to-End Learning for Negotiation Dialogues
end-to-end-negotiator
This is a PyTorch implementation of the following research papers:
The code is developed by Facebook AI Research.
The code trains neural networks to hold negotiations in natural language, and allows reinforcement learning self play and rollout-based planning.
If you want to use this code in your research, please cite:
@inproceedings{DBLP:conf/icml/YaratsL18,
author = {Denis Yarats and
Mike Lewis},
title = {Hierarchical Text Generation and Planning for Strategic Dialogue},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
pages = {5587--5595},
year = {2018},
crossref = {DBLP:conf/icml/2018},
url = {http://proceedings.mlr.press/v80/yarats18a.html},
timestamp = {Fri, 13 Jul 2018 14:58:25 +0200},
biburl = {https://dblp.org/rec/bib/conf/icml/YaratsL18},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
We release our dataset together with the