A simple implementation of an epsilon-greedy policy for Reinforcement Learning.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for kapilgoyal11 from gravatar.com kapilgoyal11

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License
  • Author: Kapil Goyal
  • Requires: Python >=3.7
Classifiers
Report project as malware

Project description

RL Policy Package

A simple Python package from a Reinforcement Learning course assignment that implements an epsilon-greedy policy.

Installation

pip install rl-policy-package

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for kapilgoyal11 from gravatar.com kapilgoyal11

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License
  • Author: Kapil Goyal
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.0.2

This version

0.0.1

Download files

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

Source Distribution

kapilgoyal_rl_epsilon_greedy_policy-0.0.1.tar.gz (2.0 kB view details)

Uploaded Source

Built Distribution

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

kapilgoyal_rl_epsilon_greedy_policy-0.0.1-py3-none-any.whl (3.0 kB view details)

Uploaded Python 3

File details

Details for the file kapilgoyal_rl_epsilon_greedy_policy-0.0.1.tar.gz.

File metadata

File hashes

Hashes for kapilgoyal_rl_epsilon_greedy_policy-0.0.1.tar.gz
Algorithm Hash digest
SHA256 fc35869017b41bd86039a29657c1eb3b1254cc356120bc210cfb3894657e35ee
MD5 368c17a90f8ec7f1014164770a1f2a42
BLAKE2b-256 5873d80facd2ec9243cdc85ed416394a2787a7378493c1ab01cd046a87755417

See more details on using hashes here.

File details

Details for the file kapilgoyal_rl_epsilon_greedy_policy-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for kapilgoyal_rl_epsilon_greedy_policy-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 509ba4500319c272832f428047f1e65acf1ab0033f51f1525e58e03f7a681b53
MD5 f7b78f91d8ace31a8e2f8e09f8081ebc
BLAKE2b-256 22deac24ab2a727760231b6a3c336a704c9b733446436b9cc1bc531152b3dd1c

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