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

  • Stars
    star
    10
  • Rank 1,807,489 (Top 36 %)
  • Language
    Python
  • License
    MIT License
  • Created about 5 years ago
  • Updated about 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
TakuyaHiraoka/Learning-Robust-Options-by-Conditional-Value-at-Risk-Optimization
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 NeurIPS 2019 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

Dialogue-State-Tracking-using-LSTM

Source files to replicate experiments in my IWSDS 2016 paper.
Python
23
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