Bandit Code for the Book "Reinforcement Learning"

This repository was forked from John Myles White's "BanditsBook" repository.

I have removed all the non-python code and added a setup.py file to allow for pip installs. Everything else is the same.

Installing

pip install banditsbook

Getting Started

from arms.bernoulli import BernoulliArm
from testing_framework.tests import test_algorithm
from algorithms.epsilon_greedy.standard import EpsilonGreedy
num_sims = 1000
horizon = 10

arm0 = BernoulliArm(0.2)
arm1 = BernoulliArm(0.2)
arms = [arm0, arm1]
algo1 = EpsilonGreedy(0.1, [], [])
sim_nums, times, chosen_arms, rewards, cumulative_rewards = test_algorithm(
    algo1, arms, num_sims, horizon)
print(rewards)

See the original repository for more information: https://github.com/johnmyleswhite/BanditsBook

Icons made by Good Ware from www.flaticon.com

Metadata

Release files for banditsbook 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for banditsbook 0.1.1
File	Size	Uploaded	Provenance	Actions
banditsbook-0.1.1.tar.gz	6.0 kB	Feb 6, 2020	Without provenance	Details for banditsbook-0.1.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for banditsbook 0.1.1
File	Interpreter	ABI	Platform	Actions Reset
banditsbook-0.1.1-py3-none-any.whl 14.1 kB Feb 6, 2020 Without provenance	Python 3	none	any	Details for banditsbook-0.1.1-py3-none-any.whl

Total release size: 20.1 kB

Release files / banditsbook-0.1.1.tar.gz

Download URL	banditsbook-0.1.1.tar.gz
Size	6.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`76f1e78ebf8a18c07924dc2e64924727c6028a0a7fe5e45928886adbf85b9554`
BLAKE2b-256 checksum How to use checksums	`409c9f1c5654bf1f4d71c8ec594e2d99bbe80451e3dc7a1918a587dc6766fa32`
Upload date	Feb 6, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6`

Release files / banditsbook-0.1.1-py3-none-any.whl

Download URL	banditsbook-0.1.1-py3-none-any.whl
Size	14.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`54040cad53012ddfd5fabc1e6afcdd40c7ee1201e8868339528dccc8ce1f089f`
BLAKE2b-256 checksum How to use checksums	`68c0afdf81ebc086acae3f536424922716a1f2fa8a45fec573e6a62e0d01136f`
Upload date	Feb 6, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6`

Security for banditsbook 0.1.1

Report project as malware

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.1 This release

Feb 6, 2020 2 release files No provenance

banditsbook 0.1.1