Code and datasets for the Tsetlin Machine
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Updated
Apr 26, 2024 - Cython
Code and datasets for the Tsetlin Machine
Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget
Leveling up on the Bandit Wargames
Randomized Greedy Learning Under Full-bandit Feedback
Contextual bandit algorithm called LinUCB / Linear Upper Confidence Bounds as proposed by Li, Langford and Schapire
Detailed solution of solving wargames of over the wire which includes bandit and in future many more.
Multi-threaded implementation of the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features and multigranularity.
Privacy-Preserving Bandits (MLSys'20)
Client that handles the administration of StreamingBandit online, or straight from your desktop. Setup and run streaming (contextual) bandit experiments in your browser.
Homework Code for UCLA STATS 115 (Probabilistic Decision Making) Fall 22 Offering
Simple Implementations of Bandit Algorithms in python
Repository of code developed for the course MSSI @FEUP.
Aqui irei explicar como passar de cada nível do CTF Bandit fornecido pela Over The Wire
Tutorial on the Convolutional Tsetlin Machine
Some visualizations of bandit algorithm outputs.
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
A checkers reinforcement learning AI, and all the tools needed to train it.
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