lfa
| Crates.io | lfa |
| lib.rs | lfa |
| version | 0.15.0 |
| source | src |
| created_at | 2018-02-14 14:54:45.456417 |
| updated_at | 2020-06-07 16:02:29.274301 |
| description | Native rust implementations of linear function approximators. |
| homepage | |
| repository | https://github.com/tspooner/lfa |
| max_upload_size | |
| id | 51143 |
| size | 120,719 |
Thomas Spooner (tspooner)
documentation
https://docs.rs/lfa
README
LFA (api)
Overview
lfa provides a set of implementations for common linear function
approximation techniques used in reinforcement learning.
Installation
[dependencies]
lfa = "0.15"
Note that rsrl enables the blas feature of its ndarray dependency, so
if you're building a binary, you additionally need to specify a BLAS backend
compatible with ndarray. For example, you can add these dependencies:
blas-src = { version = "0.2.0", default-features = false, features = ["openblas"] }
openblas-src = { version = "0.6.0", default-features = false, features = ["cblas", "system"] }
See ndarray's README
for more information.
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate and adhere to the angularjs commit message conventions (see here).