How to Choose a Reinforcement-Learning Algorithm
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arXiv
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| Hauptverfasser: | , , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| author | Bongratz, Fabian Golkov, Vladimir Mautner, Lukas Della Libera, Luca Heetmeyer, Frederik Czaja, Felix Rodemann, Julian Cremers, Daniel |
| author_facet | Bongratz, Fabian Golkov, Vladimir Mautner, Lukas Della Libera, Luca Heetmeyer, Frederik Czaja, Felix Rodemann, Julian Cremers, Daniel |
| contents | The field of reinforcement learning offers a large variety of concepts and methods to tackle sequential decision-making problems. This variety has become so large that choosing an algorithm for a task at hand can be challenging. In this work, we streamline the process of choosing reinforcement-learning algorithms and action-distribution families. We provide a structured overview of existing methods and their properties, as well as guidelines for when to choose which methods. An interactive version of these guidelines is available online at https://rl-picker.github.io/. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_20917 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | How to Choose a Reinforcement-Learning Algorithm Bongratz, Fabian Golkov, Vladimir Mautner, Lukas Della Libera, Luca Heetmeyer, Frederik Czaja, Felix Rodemann, Julian Cremers, Daniel Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition 62M45 I.2.8; I.2.6; I.5.1 The field of reinforcement learning offers a large variety of concepts and methods to tackle sequential decision-making problems. This variety has become so large that choosing an algorithm for a task at hand can be challenging. In this work, we streamline the process of choosing reinforcement-learning algorithms and action-distribution families. We provide a structured overview of existing methods and their properties, as well as guidelines for when to choose which methods. An interactive version of these guidelines is available online at https://rl-picker.github.io/. |
| title | How to Choose a Reinforcement-Learning Algorithm |
| topic | Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition 62M45 I.2.8; I.2.6; I.5.1 |
| url | https://arxiv.org/abs/2407.20917 |