TakuyaHiraoka/Dialogue-State-Tracking-using-LSTM TakuyaHiraoka/Dialogue-State-Tracking-using-LSTM

  • Stars
    star
    23
  • Rank 1,016,462 (Top 21 %)
  • Language
    Python
  • Created about 9 years ago
  • Updated about 8 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
TakuyaHiraoka/Dialogue-State-Tracking-using-LSTM
github

TakuyaHiraoka

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Source files to replicate experiments in my IWSDS 2016 paper.

More Repositories

1

Multi-Agent-Reinforcement-Learning-in-Stochastic-Games

Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.
Python
69
star
2

Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning

Source files to replicate experiments in my ICLR 2022 paper.
Python
59
star
3

Learning-Robust-Options-by-Conditional-Value-at-Risk-Optimization

Source files to replicate experiments in my NeurIPS 2019 paper.
Python
10
star
4

Active-Learning-for-Example-based-Dialog-Systems

Source files to replicate experiments in my IWSDS 2016 paper.
Python
9
star
5

Reinforcement-Learning-in-Multi-Party-Trading-Dialog

Source files to replicate experiments in my SigDial 2015 and JSAI papers.
Python
8
star
6

Efficient-SRGC-RL-with-a-High-RR-and-Regularization

Source files to replicate experiments in my Arxiv 2023 paper.
Python
1
star