Giter Site home page Giter Site logo

Comments (2)

wangjksjtu avatar wangjksjtu commented on June 6, 2024

Hi @nazaretl, Thanks for the interest in our work!

  1. Yeah, the theory is actually drived in on the tabular setting. It should work on tabular data ;)
  2. Not sure yet, in general this idea is agnostic to the dataset. However, on some setting, it might be very hard to recover from the failure cases especially the noise rate is large (see noise variance tradeoff in the paper). Moreover, in our analysis, the noise should be discrete which might not be the exact setting in the real world. While we have seen some effectiveness in continuous noise, it is not guaranteed to work to any data.
  3. In our experiments, we add the noise to the observed reward for every episode. If you want to take a look at those state-action pairs, maybe you can change in this function to record them.

Please let me know if you have any other questions ;)

from rl-perturbed-reward.

nazaretl avatar nazaretl commented on June 6, 2024

many thanks for the response!

from rl-perturbed-reward.

Related Issues (1)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.