Repo for the Deep Reinforcement Learning Nanodegree program
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Updated
Nov 16, 2023 - Jupyter Notebook
Repo for the Deep Reinforcement Learning Nanodegree program
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
🎯 A comprehensive gradient-free optimization framework written in Python
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
📐 Geometrize is a Haxe port of primitive that geometrizes images into geometric primitives
This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach
All exercises for the course Elements of AI - Building AI
This is a n-queen problem solver using local search algorithms.
An algorithm for creating a good timetable for the Faculty of Computing. The algorithm is based on evolutionary strategies, more precisely on the 1+1 evolutionary strategy and Shotgun hill climbing.
🔶 C++ library for Geometrize, a tool for geometrizing images into geometric primitives
Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.
Implement Algorithms For Graph Search (like A*) & Local Search (like hill climbing algorithms) & Genetics
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
Travelling Salesman Problem implementation with Hill Climbing Algorithm
A C# Library to aid programming for meta-heuristics
An Android App that solves the TSP using three different algorithms from the machine learning field.
Hill Climbing / Simulated Annealing / Genetic / ...
Solving Knapsack 0/1 problem with various Local Search algorithms like Hill Climbing, Genetic Algorithms, Simulated Annealing, Tabu Search
Using Simulated Annealing, Hill Climbing, and Genetic Algorithms to recreate images using shapes 🤖 🧬
Artificial Intelligence Lab Course (CS 312), IIT Dharwad
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