EricHeywoodThomas/market_entry_strategy_with_RL

Market Entry Strategy with Reinforcement Learning Dataset

This dataset contains the trained agent artifacts, configuration files, training hyperparameters, and simulation results used for the manuscript:

Exploring Effective Market Entry Strategies with Reinforcement Learning
Eric Thomas, Christopher Archibald, Stephen Sorensen, and David Bryce
Manuscript submitted for publication.

The accompanying source code is available at:

https://github.com/Eric-H-Thomas/BusinessStrategySimulator3

Dataset Description

This dataset supports experiments studying how reinforcement learning (RL) agents learn market entry and exit strategies across varying economic conditions. The simulations model firms that choose whether to enter, exit, or remain in markets while competing under economic constraints such as entry costs, fixed costs, variable costs, market demand, capital limitations, and capability overlap.

The dataset includes outputs from experiments comparing RL agents against baseline strategic agents in simulated market-entry environments.

Contents

The dataset includes 23 different economic scenarios. For each, we trained 10 RL agents.

For each trained agent, we provide,

• A zip file containing the trained agent artifacts
• Simulator configurations
• Training hyperparameters
• Evaluation dataset

These files are intended to allow readers to inspect, reproduce, and extend the experiments reported in the accompanying manuscript.

Source Code

The source code used to generate these data is available on GitHub: https://github.com/Eric-H-Thomas/BusinessStrategySimulator3

Dataset License

This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

You are free to share and adapt the dataset, including for research and commercial purposes, provided that appropriate credit is given.

Citation

If you use this dataset, please cite the dataset directly:

@misc{thomas2026marketentrydataset, author = {Thomas, Eric and Archibald, Christopher and Sorensen, Stephen and Bryce, David}, title = {Market Entry Strategy with Reinforcement Learning Dataset}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/EricHeywoodThomas/market_entry_strategy_with_RL}, doi = {10.57967/hf/8605}, note = {Dataset supporting the manuscript "Exploring Effective Market Entry Strategies with Reinforcement Learning"} }

Contact

For questions about the dataset or accompanying source code, please contact Eric Thomas: https://ericthomas.io/contact