Multi-Objective Multi-Armed Bandit
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Jul 17, 2023 - Python
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This repository contains all of the Reinforcement Learning-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.
monte-carlo epsilon-greedy policy-gradient sarsa dynamic-programming policy-iteration model-based-rl n-armed-bandit-problem on-policy off-policy double-q-learning model-free-rl n-step-bootstrapping n-step-expected-sarsa n-step-tree-backup ucb-algorithm
A small collection of Bandit algorithms, written in Rust 🦀.
machine-learning bandit bandit-algorithms exp3-algorithm ucb-algorithm asymptotically-optimal-ucb-algorithm etc-algorithm exp3ix-algorithm
monte-carlo q-learning dqn epsilon-greedy policy-gradient dynamic-programming transfer-learning policy-iteration value-iteration model-based-rl behavioral-economics sarsa-learning n-armed-bandit-problem double-q-learning model-learning n-step-expected-sarsa n-step-tree-backup ucb-algorithm cognitive-fallacies
Sending personalized marketing offers (called free play in a casino setting) to players by observing data on their gaming behavior and demographic information
Simulating-the-Multi-Armed-Bandit with 10 arms using algorithms like Greedy, Epsilon-Greedy and UCB.
reinforcement-learning epsilon-greedy reinforcement-learning-algorithms multiarmed-bandits epsilon-greedy-exploration ucb-algorithm
Mulino is Nine Men's Morris (also called Mill, Merels, Moulin or Mühle), a traditional two player abstract perfect-information strategy board game with an optional UCT/MCTS AI.
Code for our AAMAS '25 oral paper, 'Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness'.
This rep contains the projects made for the course "Reinforcement Learning and Dynamic Optimization" at TUC (2024).
reinforcement-learning reinforcement-learning-algorithms multi-armed-bandits multiplicative-weights ucb-algorithm
Which Advertisement is the best fit for our business we can directly get through UCB Algorithm
machine-learning reinforcement-learning advertisement thompson-sampling selection-algorithm ucb-algorithm
[Python] 4 multi-armed bandit algorithms are implemented to determine which one can most effectively determine the best website configuration that maximise signups.
📊 Web Ad Optimization using Reinforcement Learning (UCB) 🚀 An interactive Machine Learning application that uses the Upper Confidence Bound (UCB) algorithm to optimize advertisement selection and maximize Click Through Rate (CTR). Demonstrates exploration vs exploitation in real-time using Streamlit.
python data-science machine-learning reinforcement-learning multi-armed-bandit ai-project digital-marketing-analytics streamlit ucb-algorithm ad-optimization ctr-optimization
An implementation of Bandit Algorithms, focusing on the case of Bernoulli Rewards.
thompson-sampling stochastic moss bandits bernoulli kl-ucb ucb-algorithm lattimore adaucb explore-then-commit
Reinforcement learning–based adaptive sampling for Physics-Informed Neural Networks using a UCB multi-armed bandit strategy, applied to the 1D heat equation.
This repository has been created just for warm-up in reinforcement learning and there are my simulation files of UT-RL course HWs.
reinforcement-learning monte-carlo q-learning statistical-inference dqn epsilon-greedy ddpg policy-iteration value-iteration q-learning-vs-sarsa sarsa-algorithm gradient-bandit ucb-algorithm
reinforcement-learning policy-gradient reinforce greedy-algorithm td-learning sarsa-learning td-lambda exploration-exploitation epsilon-greedy-exploration ucb-algorithm
This repository contains several implementations of multi-armed bandit (MAB) agents applied to a simulated cricket match where an agent selects among different strategies with the goal of maximizing runs while minimizing the risk of getting out.
reinforcement-learning risk-management kl-divergence proababilistic multiarmed-bandits regret-minimization ucb-algorithm
2025 Master's course project – Online Learning Application: codebase, docs, and deliverables.
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