Reinforcement Learning with tabular methods: TD-learning (Q-learning and SARSA) and MENACE-like approach applied to a Rubik's cube with a move set restricted to 180-degree turns.
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Updated
Aug 1, 2021 - C
Reinforcement Learning with tabular methods: TD-learning (Q-learning and SARSA) and MENACE-like approach applied to a Rubik's cube with a move set restricted to 180-degree turns.
Implement q-learning to find the best way in the crowded traffic
this is the third pacman project for course AI of UC Berkeley done as the third project of course AI basics and applications of AUT
Web visualisation of the k-armed bandit problem
K-armed bandit problem approached with a variety of action-selection learning algorithms.
Using DeepQ + Epsilon Greedy to create model for Open Ai GYm's Lunar Lander V2
This repository contains Reinforcement Learning course projects...
🎮 포켓몬 길찾기 게임 (광운대학교 컴퓨터정보공학부 고급C프로그래밍 팀프로젝트)
Il bandito bracciuto: Introduzione leggera ma non troppo all'apprendimento con rinforzo.
Learning how to play Blackjack using tabular reinforcement learning algorithms - Monte Carlo first visit - Q learning
Simulating epsilon-greedy and temporal difference reinforcement learning algorithms.
Solve the optimized path of a maze using Q-Learning of the Reinforcement Learning and epsilon-greedy.
Reinforcement Learning and Deeep reinforcement Learning
TicTacToe Undertale style in terminal with ai (greedy epsilon algorithm).
Q-learning and Q-value iteration algorithms for the Block-World environment.
Problem Statement Perform clustering (Hierarchical,K means clustering and DBSCAN) for the airlines data to obtain optimum number of clusters. Content This data set contains statistics, in arrests per 100,000 residents for assault, murder, and rape in each of the 50 US states in 1973. Also given is the percent of the population living in urban areas
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