sustaingym

Reinforcement Learning Environments for Sustainable Energy Systems

https://github.com/chrisyeh96/sustaingym

Science Score: 13.0%

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    Low similarity (14.9%) to scientific vocabulary

Keywords

distribution-shift energy-system reinforcement-learning
Last synced: 6 months ago · JSON representation

Repository

Reinforcement Learning Environments for Sustainable Energy Systems

Basic Info
Statistics
  • Stars: 54
  • Watchers: 5
  • Forks: 13
  • Open Issues: 3
  • Releases: 3
Topics
distribution-shift energy-system reinforcement-learning
Created almost 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme Contributing License

README.md

SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems

The lack of standardized benchmarks for reinforcement learning (RL) in sustainability applications has made it difficult to both track progress on specific domains and identify bottlenecks for researchers to focus their efforts on. We present SustainGym, a suite of environments designed to test the performance of RL algorithms on realistic sustainability tasks. These environments highlight challenges in introducing RL to real-world sustainability tasks, including physical constraints and distribution shift.

Paper | Website

SustainGym contains both single-agent and multi-agent RL environments. - Single-agent environments follow the Gymnasium API and are designed to be easily used with the StableBaselines3 and Ray RLLib libraries for training RL algorithms. - Multi-agent environments follow the PettingZoo Parallel API and are designed to be easily used with the Ray RLLib library for training multi-agent RL algorithms.

Please see the SustainGym website for a getting started guide and complete documentation.

Folder structure

docs/ # website and documentation examples/ # example code for running each environment sustaingym/ # main Python package algorithms/ {env}/ # per-env algorithms data/ moer/ # marginal carbon emission rates {env}/ # per-env data files envs/ {env}/ # per-env modules tests/ # unit tests

Contributing

If you would like to add a new environment, propose bug fixes, or otherwise contribute to SustainGym, please see the Contributing Guide.

License

SustainGym is released under a Creative Commons Attribution 4.0 International Public License (CC BY 4.0). See the LICENSE file for the full terms.

Citation

Please cite SustainGym as

C. Yeh, V. Li, R. Datta, J. Arroyo, N. Christianson, C. Zhang, Y. Chen, M. Hosseini, A. Golmohammadi, Y. Shi, Y. Yue, and A. Wierman, "SustainGym: A Benchmark Suite of Reinforcement Learning for Sustainability Applications," in Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track, New Orleans, LA, USA, Dec. 2023. [Online]. Available: https://openreview.net/forum?id=vZ9tA3o3hr.

BibTeX ```tex @inproceedings{yeh2023sustaingym, title = {{SustainGym}: Reinforcement Learning Environments for Sustainable Energy Systems}, author = {Yeh, Christopher and Li, Victor and Datta, Rajeev and Arroyo, Julio and Zhang, Chi and Chen, Yize and Hosseini, Mehdi and Golmohammadi, Azarang and Shi, Yuanyuan and Yue, Yisong and Wierman, Adam}, year = 2023, month = 12, booktitle = {Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track}, address = {New Orleans, LA, USA}, url = {https://openreview.net/forum?id=vZ9tA3o3hr} } ```

An earlier version of this work was published as a workshop paper:

C. Yeh, V. Li, R. Datta, Y. Yue, and A. Wierman, "SustainGym: A Benchmark Suite of Reinforcement Learning for Sustainability Applications," in NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning, Dec. 2022. [Online]. Available: https://www.climatechange.ai/papers/neurips2022/38.

BibTeX ```tex @inproceedings{yeh2022sustaingym, title = {{SustainGym}: A Benchmark Suite of Reinforcement Learning for Sustainability Applications}, author = {Yeh, Christopher and Li, Victor and Datta, Rajeev and Yue, Yisong and Wierman, Adam}, year = 2022, month = 12, booktitle = {NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning}, address = {New Orleans, LA, USA}, url = {https://www.climatechange.ai/papers/neurips2022/38} } ```

Owner

  • Name: Christopher Yeh
  • Login: chrisyeh96
  • Kind: user

GitHub Events

Total
  • Watch event: 14
  • Push event: 2
  • Fork event: 3
Last Year
  • Watch event: 14
  • Push event: 2
  • Fork event: 3

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 90
  • Total Committers: 5
  • Avg Commits per committer: 18.0
  • Development Distribution Score (DDS): 0.233
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Christopher Yeh c****6 69
Ethan Wilk e****k@g****m 17
Chi Zhang 9****6 2
liv20 5****0 1
Nico Christianson n****n@g****m 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 1
  • Total pull requests: 27
  • Average time to close issues: N/A
  • Average time to close pull requests: about 1 month
  • Total issue authors: 1
  • Total pull request authors: 7
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.26
  • Merged pull requests: 18
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • Swathii-CP (1)
Pull Request Authors
  • chrisyeh96 (8)
  • chz056 (6)
  • ewilk0 (5)
  • rajeev-datta (3)
  • liv20 (3)
  • chennnnnyize (1)
  • nhchristianson (1)
Top Labels
Issue Labels
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Packages

  • Total packages: 2
  • Total downloads:
    • pypi 13 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 13
  • Total maintainers: 1
proxy.golang.org: github.com/chrisyeh96/sustaingym
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 6 months ago
pypi.org: sustaingym

SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 13 Last month
Rankings
Dependent packages count: 7.4%
Forks count: 19.3%
Stargazers count: 23.2%
Average: 29.8%
Dependent repos count: 69.2%
Maintainers (1)
Last synced: 6 months ago