A Bayesian global optimization package for material design | Adaptive Learning | Active Learning
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Updated
May 21, 2024 - Jupyter Notebook
A Bayesian global optimization package for material design | Adaptive Learning | Active Learning
Reinforcement learning used in the game of pong
LoRa@FIIT algorithms comparison using jupyter notebooks
Using SciKit Learn few Deep Learning Rules and Algorithms are implemented
Code for the paper "Truncated LinUCB for Stochastic Linear Bandits"
Predicting the best Ad from the given Ads.
This repo contains code templates of all the machine learning algorithms that are used, like Regression, Classification, Clustering, etc.
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
A novel parallel UCT algorithm with linear speedup and negligible performance loss.
Web visualisation of the k-armed bandit problem
Offline evaluation of multi-armed bandit algorithms
We compare different policies for the checkers game using reinforcement learning algorithms.
Checking CTR(Click Thorugh Rate) of an ad using Thompson Sampling (Reinforcement Lrearning)
We implemented a Monte Carlo Tree Search (MCTS) from scratch and we successfully applied it to Tic-Tac-Toe game.
Reinforcement learning
Optimizing the best Ads using Reinforcement learning Algorithms such as Thompson Sampling and Upper Confidence Bound.
A collection of games accompanied by a generalised Monte Carlo Tree Search Artificial Intelligence in combination with Upper Confidence Bounds.
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