Dynamic Pricing Competition: Benchmark your Reinforcement Learning Algorithm

16:40-17:00, January 27 @ 1A

Talk/ Overview

This presentation covers the idea and execution behind this year’s Dynamic Pricing Competition. Together with the University of Amsterdam, we at Haensel AMS provide a neutral testing ground for participants in the fields of dynamic pricing to evaluate their Reinforcement Learning algorithms. Participants with Industry and Academic backgrounds can benchmark their pricing algorithms across different scenarios (duopoly, oligopoly and dynamic) to gain valuable insights into their submission’s performance and to compete for the prize pool. https://dynamic-pricing-competition.com/

Talk/ Speakers

Paul Kleinschmidt

Data Scientist, Haensel AMS

Talk/ Slides

Download the slides for this talk.Download ( PDF, 5036.3 MB)

Talk/ Highlights

14:48

Dynamic Pricing Competition: Benchmark your Reinforcement Learning Algorithm

With Paul KleinschmidtPublished March 12, 2020

AMLD / Global partners