A novel parallel UCT algorithm with linear speedup and negligible performance loss.
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Apr 26, 2021 - Python
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upper-confidence-bound
Here are 25 public repositories matching this topic...
[Mat. & Des. 2024 | NPJ CM 2024] Offical implement of Bgolearn
material-design materials knowledge-gradient adaptive-learning materials-science materials-informatics active-learning expected-improvement upper-confidence-bound opportunity-cost bayesian-global-optimization predictive-entropy-search mlmd probability-of-improvement least-confidence margin-sampling entropy-based-approach augmented-expected-improvement trail-path bgolearn
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Oct 14, 2025 - Jupyter Notebook
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
reinforcement-learning random-forest svm naive-bayes linear-regression cnn thompson-sampling xgboost pca logistic-regression apriori lda ann decision-tree nlp-machine-learning k-nn support-vector-regression kernel-pca eclat upper-confidence-bound
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Nov 7, 2021 - Python
Offline evaluation of multi-armed bandit algorithms
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Dec 1, 2020 - Python
Optimizing the best Ads using Reinforcement learning Algorithms such as Thompson Sampling and Upper Confidence Bound.
data-science reinforcement-learning eda data-visualization thompson-sampling data-analysis beginner upper-confidence-bound
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May 24, 2019 - Jupyter Notebook
We implemented a Monte Carlo Tree Search (MCTS) from scratch and we successfully applied it to Tic-Tac-Toe game.
reinforcement-learning graphics mcts ucb monte-carlo-tree-search tic-tac-toe-game upper-confidence-bound
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Jul 9, 2020 - Python
该仓库包含基于 PyWebIO 的 UCB（上置信界）算法 在线演示，UCB 算法常用于多臂老虎机问题，以优化决策并最大化累积奖励。演示包括自动 UCB 算法模拟和交互式手动策略对比。
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Nov 22, 2024 - Python
This repo contains code templates of all the machine learning algorithms that are used, like Regression, Classification, Clustering, etc.
python machine-learning natural-language-processing reinforcement-learning deep-learning random-forest clustering naive-bayes machine-learning-algorithms regression thompson-sampling neural-networks classification dimensionality-reduction logistic-regression convolutional-neural-networks predictive-analytics artificial-neural-network principal-component-analysis upper-confidence-bound
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Feb 17, 2022 - Jupyter Notebook
Repository of Online Learning algorithms, including Bandits, UCB, and more.
machine-learning linear-regression bandit-learning online-learning adversarial-learning bandit upper-confidence-bound adaptive-ad
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Sep 28, 2024 - Python
This project implements an ad optimization system using a hybrid approach combining Thompson Sampling and Upper Confidence Bound (UCB) algorithms. The system learns to select the most effective ads based on user context and historical performance.
python reinforcement-learning numpy scikit-learn plotly pandas pytorch thompson-sampling upper-confidence-bound streamlit
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May 26, 2025 - Python
Checking CTR(Click Thorugh Rate) of an ad using Thompson Sampling (Reinforcement Lrearning)
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Aug 12, 2020 - Python
Code for the paper "Truncated LinUCB for Stochastic Linear Bandits"
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Jun 2, 2023 - Python
Using SciKit Learn few Deep Learning Rules and Algorithms are implemented
reinforcement-learning clustering svm naive-bayes model-selection thompson-sampling xgboost classification dimensionality-reduction apriori k-means association-rules decision-tree principal-component-analysis linear-discriminant-analysis k-nearest-neighbor eclat upper-confidence-bound
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Aug 9, 2023 - Jupyter Notebook
reinforcement-learning q-learning grid-world epsilon-greedy sarsa dynamic-programming multi-armed-bandits policy-iteration value-iteration monte-carlo-methods temporal-differencing-learning upper-confidence-bound gradient-bandit optimistic-inital-values greedy-policy
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Jun 29, 2023 - Jupyter Notebook
Reinforcement learning used in the game of pong
cmake reinforcement-learning cpp q-learning ucb pong-game cpp20 boost-test upper-confidence-bound the-game-of-pong
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Jul 31, 2025 - C++
Web visualisation of the k-armed bandit problem
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Feb 6, 2021 - JavaScript
Predicting the best Ad from the given Ads.
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May 26, 2022 - Jupyter Notebook
LoRa@FIIT algorithms comparison using jupyter notebooks
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Aug 24, 2025 - Jupyter Notebook
A collection of games accompanied by a generalised Monte Carlo Tree Search Artificial Intelligence in combination with Upper Confidence Bounds.
python tictactoe monte-carlo-tree-search artificial-intelligence-algorithms tictactoe-ai upper-confidence-bound connect-3d
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Feb 11, 2019 - Python
A highly efficient implementation of the Monte Carlo Tree Search algorithm on an example game.
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Apr 7, 2025 - Julia
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