Metadata-Version: 2.1
Name: contextual-bandits-algos
Version: 0.1.0
Summary: A library for contextual multi-armed bandit algorithms.
Home-page: https://github.com/singhsidhukuldeep/contextual-bandits
Author: Kuldeep Singh Sidhu
Author-email: singhsidhukuldeep@gmail.com
Keywords: Contextual Bandits,Multi-Armed Bandits,Reinforcement Learning,LinUCB,Epsilon-Greedy,UCB,Thompson Sampling,Kernel Methods,Neural Networks,Machine Learning,Python Library
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Education
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python
License-File: LICENSE
Requires-Dist: numpy>=1.18.0
Requires-Dist: scikit-learn>=0.22.0
Requires-Dist: torch>=1.7.0
