Integrating Reinforcement Learning in Agent-Based Modeling for Dynamic Investment Decisions

Integrating Reinforcement Learning in Agent-Based Modeling for Dynamic Investment Decisions (1.0.0)

This model is a part of a research article submitted to the Journal of Artificial Societies and Social Simulation (JASSS). The ODD protocol is included in the model. In this version of the model, Proximal Policy Optimization (PPO) is designed in the agent behaviors. It also includes a designed experiment in its Behavior Space which is used in the Response Surface Methodology and training of an Artificial Neural Network (ANN) based Recommender System.

Release Notes

It’s the first version of the model

Associated Publications

This model is a part of a research article submitted to the Journal of Artificial Societies and Social Simulation (JASSS). The ODD protocol is included in the model.


This is a companion discussion topic for the original entry at https://www.comses.net/codebases/4cba9a77-e25c-49f5-baeb-c6248a778c9e/releases/1.0.0