johnlille Goto Github PK

advanced-econometrics

Econometric Theory

ai-economist

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).

algorithmic-collusion-an-experimental-study

BSc Thesis: Investigation of the collusive tendencies of Q-learning and DQN agents in economic environments.

algorithmic_pricing

Code for my master's thesis: algorithmic pricing with coarse memory

algorithmic_pricing_actorcritic

Code for my master's thesis work on algorithmic pricing in continuous environments.

bachelors-thesis

Code for thesis "Reinforcement Learning in Normal Form Games"

bergenio2021

A fork of the IO course at NHH in 2021

bertrandnashequilibriumcomputation

Algorithms to find Bertrand Nash equilibria in pricing games

blp-problem-set

Code for John Asker IO Problem Set 1

bvar_

Empirical macro toolbox

ce-fortran

The Program and Compiler Database that accompanies the book "Introduction to Computational Economcis using Fortran"

comp-econ-sp19

Main Course Repository for Computational Methods in Economics (Econ 21410, Spring 2019)

data-science-python

Notes for a course in data science using Python. Work in progress

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

demark

Demonstrations of how to use material in the Econ-ARK

dqn_pricing_algorithms

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.

dse2023

Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland

econ425-w21

Materials from TAing Econ 425, Machine Learning 1, in the UCLA MAE Program, Winter Quarter 2021

econometrics

A fork of Starchurski's Econometrics notebook

econpizza

Solve nonlinear heterogeneous agent models

empiricalio2022cergy

financial-frictions

Interactive guide to Fernández-Villaverde, Hurtado, and Nuño (2019): "Financial Frictions and the Wealth Distribution".

game-theory-and-python

Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma

hdmr

Example codes for the SIAM Journal on Scientific Computing (SISC) paper "High-Dimensional Dynamic Stochastic Model Representation"

machine-learning-and-data-science

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.

machine-learning-for-economic-analysis

Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH

nber-workshop-2022

Code for the Spring 2022 heterogeneous-agent macro workshop

numerical_continuous_time

phd-econometrics

Graduate Econometrics course notes with code in Julia