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Usage
You are a new user that wants to use the recommerce simulation framework? Then you have come to the right place. The pages grouped under the usage section of this wiki are aimed at giving guidance on how to first set up the framework, and how to use the various functionalities it offers to the fullest.
The Quick Start Guide contains information on how to install and set up the simulation framework, and where to start when getting to know the different parts of the framework.
The examples page contains a number of select examples which you can use to familiarize yourself with the different functionalities of the framework, such as training a reinforcement learning agent or monitoring a pricing strategy.
This page contains information about how to correctly configure one of the different tasks using the three different configuration files environment_config
, market_config
and rl_config
.
An optional user interface is available for users interested in a simpler way to interact with the framework, or thos that want to take advantage of the more powerful hardware used by the remotely deployed workflow.
In our framework, we use a number of different external tools to aid us with the various processes performed during the simulation. This page gives a short introduction into their correct usage.
Online Marketplace Simulation: A Testbed for Self-Learning Agents is the 2021/2022 bachelor's project of the Enterprise Platform and Integration Concepts (@hpi-epic, epic.hpi.de) research group of the Hasso Plattner Institute.