Integrating Reinforcement Learning in Agent-Based Modeling for Dynamic Investment Decisions (1.0.0)
This model is a part of an ongoing research project on Multiagent Reinforcement Learning (MARL). 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 working research paper. The ODD protocol is included in the model.
Integrating Reinforcement Learning in Agent-Based Modeling for Dynamic Investment Decisions 1.0.0
This model is a part of an ongoing research project on Multiagent Reinforcement Learning (MARL). 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
