A modular library for benchmarking sequential decision-making models in temporal environments.
Project description
TSDM — Time Series Decision-Making Benchmark
TSDM provides ground-truth-controlled environments ("games") for evaluating sequential decision-making agents in temporal-only settings.
Use TSDM to benchmark heuristic, statistical, or learning-based agents on standardized tasks driven by synthetic or real-world time series.
Currently under construction...
Acknowledgments
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.
License
MIT — see LICENSE.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tsdm_benchmark-0.1.0.tar.gz.
File metadata
- Download URL: tsdm_benchmark-0.1.0.tar.gz
- Upload date:
- Size: 5.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
60ed972a63200bcffad9366bf26bce26b5e66199eaace002c8c33cec164dce41
|
|
| MD5 |
84e7e2c69d8ec1c568aff08e73cee3a2
|
|
| BLAKE2b-256 |
7bfdb244943267bd53498645830767dca7a1329e45297918bb27b97f11177615
|
File details
Details for the file tsdm_benchmark-0.1.0-py3-none-any.whl.
File metadata
- Download URL: tsdm_benchmark-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8c106dfac5de4ccf8c8c63e636bc1949902b384f8b9f135adaee60a3c7891301
|
|
| MD5 |
ed3db5fa22d858019e9442b28036d3d8
|
|
| BLAKE2b-256 |
3f90f8db1bb682bb569c1b970cd0b767be5449055335166ac320790d0bf0f10b
|
