https://github.com/rlberry-py/rlberry

An easy-to-use reinforcement learning library for research and education.
https://github.com/rlberry-py/rlberry

Keywords

multi-armed-bandits reinforcement-learning reinforcement-learning-algorithms reinforcement-learning-environments

Keywords from Contributors

measurements simulations archiving transforms conversion observation animations compresses particles tokenizer

Last synced: 11 months ago
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Repository metadata

An easy-to-use reinforcement learning library for research and education.


Owner metadata


Committers metadata

Last synced: over 1 year ago

Total Commits: 1,079
Total Committers: 32
Avg Commits per committer: 33.719
Development Distribution Score (DDS): 0.595

Commits in past year: 118
Committers in past year: 14
Avg Commits per committer in past year: 8.429
Development Distribution Score (DDS) in past year: 0.72

Name Email Commits
Omar D o****h@g****m 437
xuedong s****g@y****r 146
TimotheeMathieu T****u 103
TimotheeMathieu t****u@i****r 102
Edouard Leurent e****t@g****m 77
yfletberliac y****e@g****m 65
Ju T 5****1 31
sauxpa p****x@g****m 22
KohlerHECTOR K****R 15
Matheus M. Centa m****a@g****m 12
sauxpa p****x@i****r 8
Hector Kohler h****r@u****n 6
Pierre Ménard m****r@g****m 6
mmcenta m****a 6
AleShi94 a****a@s****u 5
Riccardo Della Vecchia r****1@g****m 5
sauxpa s****a 5
omardrwch o****h 4
Antoine Moulin a****n@t****r 4
pre-commit-ci[bot] 6****] 3
Rémy Degenne r****e@g****m 3
Waris Radji w****4@g****m 2
brahimdriss b****s 2
TimotheeMathieu t****u@u****r 2
JulienT01 j****j@g****m 1
riccardodv r****v 1
dependabot[bot] 4****] 1
YannBerthelot 4****t 1
The Codacy Badger b****r@c****m 1
RemyDegenne R****e 1
and 2 more...

Committer domains:


Issue and Pull Request metadata

Last synced: 11 months ago

Total issues: 78
Total pull requests: 155
Average time to close issues: 5 months
Average time to close pull requests: about 2 months
Total issue authors: 7
Total pull request authors: 17
Average comments per issue: 1.04
Average comments per pull request: 2.21
Merged pull request: 95
Bot issues: 0
Bot pull requests: 31

Past year issues: 52
Past year pull requests: 133
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 9 days
Past year issue authors: 6
Past year pull request authors: 14
Past year average comments per issue: 1.13
Past year average comments per pull request: 2.35
Past year merged pull request: 93
Past year bot issues: 0
Past year bot pull requests: 23

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/rlberry-py/rlberry

Top Issue Authors

  • TimotheeMathieu (41)
  • JulienT01 (15)
  • KohlerHECTOR (6)
  • mmcenta (4)
  • RemyDegenne (4)
  • riiswa (4)
  • YannBerthelot (4)

Top Pull Request Authors

  • TimotheeMathieu (59)
  • JulienT01 (31)
  • dependabot[bot] (24)
  • pre-commit-ci[bot] (7)
  • KohlerHECTOR (6)
  • RemyDegenne (6)
  • riiswa (5)
  • YannBerthelot (3)
  • xuedong (2)
  • brahimdriss (2)
  • akrouriad (2)
  • omardrwch (2)
  • BorisHamadej (2)
  • AleShi94 (1)
  • AdrienneTuynman (1)

Top Issue Labels

  • Marathon (32)
  • enhancement (20)
  • documentation (18)
  • good first issue (17)
  • style (10)
  • bug (9)
  • discussion (8)
  • dependencies (4)
  • help wanted (4)
  • question (2)
  • agent (1)

Top Pull Request Labels

  • ready for review (86)
  • dependencies (27)
  • Marathon (11)
  • documentation (10)
  • enhancement (7)
  • agent (2)

Package metadata

pypi.org: rlberry

An easy-to-use reinforcement learning library for research and education

  • Homepage: https://github.com/rlberry-py
  • Documentation: https://rlberry.readthedocs.io/
  • Licenses: LICENSE
  • Latest release: 0.7.3 (published about 1 year ago)
  • Last Synced: 2024-06-07T14:17:16.994Z (11 months ago)
  • Versions: 16
  • Dependent Packages: 1
  • Dependent Repositories: 3
  • Downloads: 124 Last month
  • Rankings:
    • Dependent repos count: 8.967%
    • Dependent packages count: 10.103%
    • Average: 12.712%
    • Downloads: 19.067%
  • Maintainers (4)

Dependencies

docs/requirements.txt pypi
  • matplotlib *
  • myst-parser *
  • numpydoc *
  • sphinx-gallery *
poetry.lock pypi
  • absl-py 1.1.0
  • alembic 1.8.0
  • attrs 21.4.0
  • autopage 0.5.1
  • cachetools 5.2.0
  • certifi 2022.5.18.1
  • charset-normalizer 2.0.12
  • cliff 3.10.1
  • cloudpickle 2.1.0
  • cmaes 0.8.2
  • cmd2 2.4.1
  • colorama 0.4.4
  • colorlog 6.6.0
  • cycler 0.11.0
  • dill 0.3.5.1
  • docopt 0.6.2
  • ffmpeg-python 0.2.0
  • fonttools 4.33.3
  • future 0.18.2
  • google-auth 2.6.6
  • google-auth-oauthlib 0.4.6
  • greenlet 1.1.2
  • grpcio 1.46.3
  • gym 0.21.0
  • idna 3.3
  • importlib-metadata 4.11.4
  • kiwisolver 1.4.2
  • mako 1.2.0
  • markdown 3.3.7
  • markupsafe 2.1.1
  • matplotlib 3.5.2
  • numpy 1.22.4
  • oauthlib 3.2.0
  • optuna 2.10.0
  • packaging 21.3
  • pandas 1.4.2
  • pbr 5.9.0
  • pillow 9.1.1
  • prettytable 3.3.0
  • protobuf 3.20.1
  • pyasn1 0.4.8
  • pyasn1-modules 0.2.8
  • pygame 2.1.2
  • pyopengl 3.1.6
  • pyparsing 3.0.9
  • pyperclip 1.8.2
  • pyreadline3 3.4.1
  • python-dateutil 2.8.2
  • pytz 2022.1
  • pyvirtualdisplay 3.0
  • pyyaml 6.0
  • requests 2.27.1
  • requests-oauthlib 1.3.1
  • rsa 4.8
  • scipy 1.8.1
  • seaborn 0.11.2
  • setuptools-scm 6.4.2
  • six 1.16.0
  • sqlalchemy 1.4.37
  • stable-baselines3 1.5.0
  • stevedore 3.5.0
  • tensorboard 2.9.0
  • tensorboard-data-server 0.6.1
  • tensorboard-plugin-wit 1.8.1
  • tomli 2.0.1
  • torch 1.11.0
  • tqdm 4.64.0
  • typing-extensions 4.2.0
  • urllib3 1.26.9
  • wcwidth 0.2.5
  • werkzeug 2.1.2
  • zipp 3.8.0
requirements.txt pypi
  • PyOpenGL ==3.1.5
  • PyOpenGL_accelerate ==3.1.5
  • dill *
  • docopt *
  • ffmpeg-python *
  • gym *
  • matplotlib *
  • numba *
  • numpy >=1.17
  • optuna *
  • pandas *
  • protobuf ==3.20.1
  • pygame *
  • pyvirtualdisplay *
  • pyyaml *
  • scipy >=1.6
  • seaborn *
  • stable-baselines3 *
  • tensorboard *
  • torch >=1.6.0
setup.py pypi
  • dill *
  • docopt *
  • gym *
  • matplotlib *
  • numpy >=1.17
  • pandas *
  • pygame *
  • pyyaml *
  • scipy >=1.6
  • seaborn *
.github/workflows/dunamai.yml actions
  • EndBug/add-and-commit v8 composite
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • mtkennerly/dunamai-action v1 composite

Score: 13.671547804524506