Topic: upper-confidence-bound Goto Github
Some thing interesting about upper-confidence-bound
Some thing interesting about upper-confidence-bound
upper-confidence-bound,Predicting the best Ad from the given Ads.
User: aashish22bansal
upper-confidence-bound,Offline evaluation of multi-armed bandit algorithms
User: antoine-hochart
upper-confidence-bound,A Bayesian global optimization package for material design | Adaptive Learning | Active Learning
User: bin-cao
Home Page: https://bgolearn.netlify.app/
upper-confidence-bound,A collection of games accompanied by a generalised Monte Carlo Tree Search Artificial Intelligence in combination with Upper Confidence Bounds.
User: faydspeare
upper-confidence-bound,
User: hritikb
upper-confidence-bound,Using SciKit Learn few Deep Learning Rules and Algorithms are implemented
User: jayavathsan
upper-confidence-bound,
User: lazarus789
upper-confidence-bound,This repo contains code templates of all the machine learning algorithms that are used, like Regression, Classification, Clustering, etc.
User: lionelsamrat10
Home Page: https://github.com/lionelsamrat10/machine-learning-a-to-z
upper-confidence-bound,A novel parallel UCT algorithm with linear speedup and negligible performance loss.
User: liuanji
upper-confidence-bound,This repository contains an implementation of checkers where different agents play against each other using different algorithms including Monte Carlo Tree Search, Alpha-Beta Pruning, and Minimax.
User: n-ferrante
upper-confidence-bound,In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
User: nikronic
upper-confidence-bound,Checking CTR(Click Thorugh Rate) of an ad using Thompson Sampling (Reinforcement Lrearning)
User: prabormukherjee
upper-confidence-bound,Reinforcement learning used in the game of pong
User: retr0-code
upper-confidence-bound,We implemented a Monte Carlo Tree Search (MCTS) from scratch and we successfully applied it to Tic-Tac-Toe game.
User: salimandre
upper-confidence-bound,We compare different policies for the checkers game using reinforcement learning algorithms.
User: salimandre
upper-confidence-bound,Optimizing the best Ads using Reinforcement learning Algorithms such as Thompson Sampling and Upper Confidence Bound.
User: sharmaroshan
upper-confidence-bound,Code for the paper "Truncated LinUCB for Stochastic Linear Bandits"
User: simonzhou86
upper-confidence-bound,Reinforcement learning
User: singhgaurav2323
upper-confidence-bound,Web visualisation of the k-armed bandit problem
User: taylorjg
Home Page: https://taylorjg.github.io/k-armed-bandit/
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