Multi-Armed Bandit (MAB) algorithm implementation in go

• UpdatedNov 25, 2019
• Go

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

• UpdatedMay 21, 2018
• Python

• UpdatedApr 5, 2021
• Jupyter Notebook

Few-shot prompting using Contextual Combinatorial Bandit optimizations

• UpdatedDec 19, 2024
• Python

Reversi (Othello) AI game in C#. Using Monte Carlo Tree Search algorithm AND BTMM algorithm.

• UpdatedMay 31, 2021
• C#

Explore key RL algorithms with detailed explanations and fully commented Python code implementations

• UpdatedDec 8, 2024
• Jupyter Notebook

This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.

• UpdatedFeb 15, 2022
• Python

An implementation of solvers for the multi-armed-bandit-problem in JavaScript.

• UpdatedApr 25, 2019
• JavaScript

This repository is focused on my assignments solutions for the Statistical Techniques for Data Science course at Innopolis University.

• UpdatedMay 18, 2023
• Jupyter Notebook

Python implementation of Monte Carlo Tree Search

• UpdatedJan 4, 2020
• Python

• UpdatedSep 3, 2022
• Jupyter Notebook

REST service, that returns content sorted by UCB1 algorithm.(Multi-Armed Bandit algorithm). Spring Boot, Kotlin

• UpdatedJan 29, 2022
• Kotlin

• UpdatedDec 17, 2023
• Jupyter Notebook

My reports for the reinforcement learning class given at the ENS

• UpdatedJan 16, 2018
• Jupyter Notebook

Reinforcement learning techniques applied to solve pricing problems in e-commerce applications. Final project for "Online learning applications" course (2021-2022)

• UpdatedOct 30, 2022
• Jupyter Notebook

Pricing and Social Influence Maximization using Reinforcement Learning algorithms in Data Intelligence Applications projects from Politechnic of Milan

• UpdatedFeb 12, 2020
• Python