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-0.2.0.tar.gz (154.1 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-0.2.0-py3-none-any.whl (27.8 kB view details)

Uploaded Python 3

File details

Details for the file retro_gamer-0.2.0.tar.gz.

File metadata

  • Download URL: retro_gamer-0.2.0.tar.gz
  • Upload date:
  • Size: 154.1 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-0.2.0.tar.gz
Algorithm Hash digest
SHA256 44f3fee63aef6847b686fe4e32983c160012d59fa0563c94bdcdbb13d40c044d
MD5 5f352f08fd007cc0046786d2107296e1
BLAKE2b-256 0422a861bc238bb50a016bbe184ad909ffabffad605869f4ff829b17d32b8cd1

See more details on using hashes here.

File details

Details for the file retro_gamer-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: retro_gamer-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 27.8 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-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8fc91e6c8d7709268ac97e362182d40d4d440046e4b36604413c53039a2e4713
MD5 e1f53faa3d791d424ac5245b31bf6cd0
BLAKE2b-256 f39ebf7fb5e607cafcb2bca320c10f2670a6edb37bdc80358fbf671bf51636e3

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