johnlille Goto Github PK
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Econometric Theory
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
BSc Thesis: Investigation of the collusive tendencies of Q-learning and DQN agents in economic environments.
Code for my master's thesis: algorithmic pricing with coarse memory
Code for my master's thesis work on algorithmic pricing in continuous environments.
Code for thesis "Reinforcement Learning in Normal Form Games"
A fork of the IO course at NHH in 2021
Algorithms to find Bertrand Nash equilibria in pricing games
Code for John Asker IO Problem Set 1
Empirical macro toolbox
The Program and Compiler Database that accompanies the book "Introduction to Computational Economcis using Fortran"
Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2019)
Notes for a course in data science using Python. Work in progress
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Modularized Implementation of Deep RL Algorithms in PyTorch
Demonstrations of how to use material in the Econ-ARK
Deep Q-learning pricing algorithm repository that was used for my master thesis at SSE. Bit of a mess because of technical debt added towards the deadline.
Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland
Materials from TAing Econ 425, Machine Learning 1, in the UCLA MAE Program, Winter Quarter 2021
A fork of Starchurski's Econometrics notebook
Solve nonlinear heterogeneous agent models
Interactive guide to Fernández-Villaverde, Hurtado, and Nuño (2019): "Financial Frictions and the Wealth Distribution".
Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma
Example codes for the SIAM Journal on Scientific Computing (SISC) paper "High-Dimensional Dynamic Stochastic Model Representation"
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
Code for the Spring 2022 heterogeneous-agent macro workshop
Graduate Econometrics course notes with code in Julia
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.