drl-om Goto Github PK

choice-models

Python package to work with Discrete Choice Models.

cs234-assignments

Stanford CS234: Reinforcement Learning assignments and practices

dblp

Parse the dblp data into a structured format for experimentation.

decision_forest_choice_model

Code for paper "Decision Forest: A Nonparametric Approach to Modeling Irrational Choice" by Y.-C. Chen and V. V. Mišić

deepbeerinventory-rl

The code for the SRDQN algorithm to train an agent for the beer game problem

drl

Deep Reinforcement Learning

drl-assortment

drl_a3c_inventory

ellalgo

Ellipsoid Algorithm Python Code

linear_programming_algorithms

LP solvers (simplex, ellipsoid, and interior point methods)

mst

resecon703

Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman

reward-shaping-to-improve-the-performance-of-drl-in-inventory-management

Link to paper: https://www.ssrn.com/abstract=3804655

tensorflow-tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

weightedsetcover

A greedy approximation algorithm to solve the weighted set cover problem. Written in Python.

wolpertinger_ddpg

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.