gym-karmedbandits

A simple gym environment implementing the k-armed bandits problem as described in chapter-2 in Reinforcement Learning: An Introduction, Richard S. Sutton & Andrew G. Barto.

git clone git@github.com:NoblesseCoder/gym-karmedbandits.git
cd gym-karmedbandits
pip install -e .

pip install gym-karmedbandits==0.0.3

Metadata

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

Source distribution for gym-karmedbandits 0.0.3
File	Size	Uploaded
gym_karmedbandits-0.0.3.tar.gz	1.2 kB	Nov 25, 2019	Details

Table of built distributions (wheels) for gym-karmedbandits 0.0.3
File	Interpreter	ABI	Platform	Reset
gym_karmedbandits-0.0.3-py3-none-any.whl 2.3 kB Nov 25, 2019	Python 3	none	any	Details

Total release size: 3.5 kB

Download URL	gym_karmedbandits-0.0.3.tar.gz
Size	1.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`01dcacb8842105a8b9c92f624b32a119e252e3feda3f6551f584158237c436d4`
BLAKE2b-256 checksum How to use checksums	`d9a873681000a2e54434ef2cedc1f2d13078b53f38183c6d654583955d72682c`
Upload date	Nov 25, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.2`

Download URL	gym_karmedbandits-0.0.3-py3-none-any.whl
Size	2.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`473855024795de4adb5cbfa96a30336fd5f7ac1575705ba9dcf57e00ed607251`
BLAKE2b-256 checksum How to use checksums	`782298adec0d2b5199354475f7ec44e0b3861b45e1b1a46ca24cf4b67cef438b`
Upload date	Nov 25, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.5.2`

This release

0.0.3 This release