Skip to content
View KunalP117's full-sized avatar
  • Cornell University
  • Ithaca, New York, US

Achievements

Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Arctic Code Vault Contributor
Block or Report

Block or report KunalP117

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
KunalP117/README.md
  • 👋 Hi, I’m @KunalP117
  • 👀 I’m interested in inverse reinforcement learning, EconML, Micro-economics
  • 🌱 I’m currently learning discrete event simulation, optimization, and Stat Signal Processing
  • 💞️ I’m looking to collaborate on Quant Trading frameworks
  • 📫 How to reach me kp487@cornell.edu

Popular repositories Loading

  1. YouTube-Commenting-Analysis YouTube-Commenting-Analysis Public

    This repository contains data as well as code for analyzing rationally inattentive commenting behavior in YouTube. The formal theory and model is contained in the paper found at this link: https://…

    Jupyter Notebook 5

  2. Inverse-Reinforcement-Learning-Fundamentals Inverse-Reinforcement-Learning-Fundamentals Public

    Implementation of Andrew Ng's paper's feasibility based results for recovering an MDP's rewards given its optimal policy. Showed how regularization can bring down the size of the feasible set by 30…

    MATLAB 1

  3. DL_RI DL_RI Public

    Rationally Inattentive Utility Maximization Model for Deep Image Classification using CNNs

    MATLAB

  4. KunalP117 KunalP117 Public

    Config files for my GitHub profile.

  5. CNNs-CloudTrain CNNs-CloudTrain Public

    List of Python Files - Experimenting AWS EC2 and SageMaker

    Python

  6. Online-IRL Online-IRL Public

    Exploring techniques to estimate a parametrized utility function from a decision maker's action-constraint pairs in an online fasion

    MATLAB