Multi-Armed Bandit (MAB) algorithm implementation in go
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Nov 25, 2019 - Go
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ucb1
Here are 18 public repositories matching this topic...
Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay
reinforcement-learning linear-programming thompson-sampling epsilon-greedy ucb policy-evaluation mdps multi-armed-bandits policy-iteration randomised-algorithms reinforcement-learning-excercises kl-divergence markovian-epidemic-processes reinforcement-learning-analysis multiarm-bandit ucb1 howards-pi batch-switching randomized-policy-iteration
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May 21, 2018 - Python
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Apr 5, 2021 - Jupyter Notebook
Few-shot prompting using Contextual Combinatorial Bandit optimizations
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Dec 19, 2024 - Python
Reversi (Othello) AI game in C#. Using Monte Carlo Tree Search algorithm AND BTMM algorithm.
board-game machine-learning csharp bitboard mcts monte-carlo-tree-search othello-game reversi-game ucb1 othello-ai mcts-algorithm
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May 31, 2021 - C#
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
python reinforcement-learning monte-carlo openai-gym q-learning policy rl-agents epsilon-greedy dynamic-programming markov-chains approximation-algorithms ucb1 q-lambda exploration-exploitation thomson-sampling frozen-lake multi-bandit-army
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Feb 15, 2022 - Python
Explore key RL algorithms with detailed explanations and fully commented Python code implementations
reinforcement-learning monte-carlo q-learning thompson-sampling epsilon-greedy reinforcement-learning-algorithms sarsa rl policy-iteration value-iteration deep-q-learning reinforcement-learning-agent ucb1 td-lambda reinforcement-learning-environments td-0 optimistic-inital-values iterative-policy-evaluation
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Dec 8, 2024 - Jupyter Notebook
An implementation of solvers for the multi-armed-bandit-problem in JavaScript.
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Apr 25, 2019 - JavaScript
A Contextual-bandit approach on MIND Datasets for News Recommendation Systems.
python thompson-sampling epsilon-greedy reinforcement-learning-algorithms multi-armed-bandits ucb1 linucb news-recommendation-system
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Jul 7, 2025 - Python
This repository is focused on my assignments solutions for the Statistical Techniques for Data Science course at Innopolis University.
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May 18, 2023 - Jupyter Notebook
Repository of Online Learning Applications project at Polytechnic of Milan. Dynamic pricing scenario with multiple products.
gaussian-processes polimi online-learning primal-dual online-learning-algorithms ucb1 politecnico-di-milano primal-dual-algorithms online-learning-applications
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Sep 19, 2025 - Jupyter Notebook
Python implementation of Monte Carlo Tree Search
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Jan 4, 2020 - Python
Reinforcement learning techniques applied to solve pricing problems in e-commerce applications. Final project for "Online learning applications" course (2021-2022)
reinforcement-learning pricing thompson-sampling multi-armed-bandit montecarlo-simulation mab ucb1 online-learning-applications
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Oct 30, 2022 - Jupyter Notebook
My reports for the reinforcement learning class given at the ENS
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Jan 16, 2018 - Jupyter Notebook
REST service, that returns content sorted by UCB1 algorithm.(Multi-Armed Bandit algorithm). Spring Boot, Kotlin
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Jan 29, 2022 - Kotlin
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Dec 17, 2023 - Jupyter Notebook
Pricing and Social Influence Maximization using Reinforcement Learning algorithms in Data Intelligence Applications projects from Politechnic of Milan
reinforcement-learning social-network pricing thompson-sampling reinforcement-learning-algorithms multi-armed-bandit ucb1 social-influence
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Feb 12, 2020 - Python
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