Reinforcement learning toolbox based on Ray RLlib for Gym Jiminy.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for duburcqa from gravatar.com duburcqa

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT)
  • Author: Alexis Duburcq
  • Maintainer: Alexis Duburcq
  • Tags reinforcement-learning , robotics , gym , jiminy
  • Requires: Python >=3.6, <3.10
Classifiers
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for duburcqa from gravatar.com duburcqa

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License (MIT)
  • Author: Alexis Duburcq
  • Maintainer: Alexis Duburcq
  • Tags reinforcement-learning , robotics , gym , jiminy
  • Requires: Python >=3.6, <3.10
Classifiers

Release history Release notifications | RSS feed

1.8.13

1.8.12

1.8.11

1.8.10

1.8.9

1.8.8

1.8.7

1.8.6

1.8.5.post1

1.8.5

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.19.post1

1.7.19

1.7.18.post1

1.7.18

1.7.17

1.7.16

1.7.15

1.7.14

1.7.13

1.7.12

1.7.10

1.7.9

1.7.8

1.7.7

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

This version

1.7.1

1.7.0

1.6.30.post1

1.6.30 yanked

1.6.27

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gym_jiminy_rllib-1.7.1-py3-none-any.whl (19.2 kB view details)

Uploaded Python 3

File details

Details for the file gym_jiminy_rllib-1.7.1-py3-none-any.whl.

File metadata

  • Download URL: gym_jiminy_rllib-1.7.1-py3-none-any.whl
  • Upload date:
  • Size: 19.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.0.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for gym_jiminy_rllib-1.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 08eac4ebc584136891b24b8b1881ff892f8f59547999a96aae8dafe7b32a4c8c
MD5 6ac9120270faf45ea44c57cd6d35779a
BLAKE2b-256 6d0957792777e7e4d3a2d73e934ee6578ea023cfc2c03f742b1ca75d1f277931

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page