Specialized 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 >=3.8, <3.12
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 >=3.8, <3.12
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

This version

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

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-1.8.0-py3-none-any.whl (25.6 kB view details)

Uploaded Python 3

File details

Details for the file gym_jiminy_rllib-1.8.0-py3-none-any.whl.

File metadata

File hashes

Hashes for gym_jiminy_rllib-1.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e45c4bc3534409ccc1d5683b2423a07b46b397e743f896f0bb31013c0615d157
MD5 a82b3ae75bb9774a68b87a02e4d5eb90
BLAKE2b-256 47e59be97f689574b1f860b8b2056ccc05ce807026e725044de58e5096b25f69

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