Skip to main content

A toolkit for learning reinforcement learning by training agents to play retro games

Project description

The author of this package has not provided a project description

Project details


Download files

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

Source Distribution

retro_gamer-0.3.4.tar.gz (154.9 kB view details)

Uploaded Source

Built Distribution

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

retro_gamer-0.3.4-py3-none-any.whl (28.3 kB view details)

Uploaded Python 3

File details

Details for the file retro_gamer-0.3.4.tar.gz.

File metadata

  • Download URL: retro_gamer-0.3.4.tar.gz
  • Upload date:
  • Size: 154.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.4 {"installer":{"name":"uv","version":"0.11.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for retro_gamer-0.3.4.tar.gz
Algorithm Hash digest
SHA256 790a1712114cb79bc8ef8c8f8926292fee2f3e9495f532284286a588c64e60a6
MD5 d8af64f823770ff3ebf77c146c0699e2
BLAKE2b-256 5ba71b9b6c4ba7d68e2af0e6ef1dca3531344cfdcf9194608633cb70164159c7

See more details on using hashes here.

File details

Details for the file retro_gamer-0.3.4-py3-none-any.whl.

File metadata

  • Download URL: retro_gamer-0.3.4-py3-none-any.whl
  • Upload date:
  • Size: 28.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.4 {"installer":{"name":"uv","version":"0.11.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for retro_gamer-0.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 b03927d53957972eb3e6891bf7d2632b6ecee59aaec6576250d3bd3035283426
MD5 cff73bc727fd4436d5d7475fa5470096
BLAKE2b-256 2cba523050cad75705615d397065bda7a5f78e2ac979bfd87f3bd0aa3e9988e4

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