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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.14840926 |
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| _version_ | 1866902123472486400 |
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| author | Sarkar, Sourjya Chakraborty, Sagnik Saha, Sayan |
| author_facet | Sarkar, Sourjya Chakraborty, Sagnik Saha, Sayan |
| contents | <h1>Release 1.1</h1> <p>Iterates upon previous release 1.0 by updating the license. This release introduces a stochastic, game-theoretic simulation engine for modelling human behaviour in poker using a truncated normal distribution. This version features configurable strategies via CSV and JSON configuration files, supports both single and batch simulation runs (with Docker integration for reproducibility), and is part of an academic research project. Third-party components are governed by their respective licenses.</p> <p>Check <code>README.md</code> for additional information.</p> <p><strong>Full Changelog</strong>: https://github.com/Rumis-Cube/pokerEconomics/compare/v1.0.0...v1.0.1</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14840926 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Simulation Engine for Studying Decision-Making in Heads-Up Poker Under Uncertainty Sarkar, Sourjya Chakraborty, Sagnik Saha, Sayan <h1>Release 1.1</h1> <p>Iterates upon previous release 1.0 by updating the license. This release introduces a stochastic, game-theoretic simulation engine for modelling human behaviour in poker using a truncated normal distribution. This version features configurable strategies via CSV and JSON configuration files, supports both single and batch simulation runs (with Docker integration for reproducibility), and is part of an academic research project. Third-party components are governed by their respective licenses.</p> <p>Check <code>README.md</code> for additional information.</p> <p><strong>Full Changelog</strong>: https://github.com/Rumis-Cube/pokerEconomics/compare/v1.0.0...v1.0.1</p> |
| title | Simulation Engine for Studying Decision-Making in Heads-Up Poker Under Uncertainty |
| url | https://doi.org/10.5281/zenodo.14840926 |