Intro to Artificial Intelligence - Heuristic Search and the A* Algorithm - Lecture 5
Explore heuristic search techniques and the A* algorithm for efficient problem-solving in AI, with practical applications in game development.
Intro to Artificial Intelligence - Search Optimizations - Lecture 6
Explore search optimizations in AI, including techniques for efficient problem-solving and algorithm enhancement. Learn practical applications through game-related assignments.
Introduction to Artificial Intelligence - Hash Functions - Lecture 7
Explore hash functions in AI, covering algorithmic techniques and data structures for modern problem-solving in simple games.
Intro to Artificial Intelligence - Evolutionary Computing - Lecture 11
Explore evolutionary computing techniques for AI problem-solving, including genetic algorithms and their applications in optimization and game AI.
Introduction to Artificial Intelligence: Genetic Algorithms for Sudoku - Lecture 12
Explore genetic algorithms for Sudoku solving. Learn about fitness functions, population dynamics, mutation rates, and algorithm implementation in this comprehensive AI lecture.
Game Programming: Pathfinding and Steering - Lecture 15
Explore pathfinding and steering techniques for game programming, including A* algorithm, navigation meshes, vector fields, influence maps, and various steering behaviors.
Introduction to Artificial Intelligence - Bandit Algorithms - Lecture 14
Explore bandit algorithms in AI, covering key concepts and applications in problem-solving and decision-making scenarios. Learn techniques for balancing exploration and exploitation.
Introduction to Artificial Intelligence - Connect 4 Tournament - Lecture
Explore AI techniques and data structures for modern problem-solving, applying learned concepts to simple games in hands-on assignments.
Introduction to Artificial Intelligence: Temporal Difference Learning - Lecture 17
Explore temporal difference learning, on/off-policy methods, and Q-learning. Gain hands-on experience with reinforcement learning algorithms through practical assignments and code examples.
Introduction to Artificial Intelligence - Neural Networks - Lecture 18
Explore neural networks' fundamentals, structure, and applications in AI problem-solving, with hands-on assignments applying techniques to simple games.
Video Game AI - Course Introduction - Lecture 1
Explore AI techniques for video games, including movement, search, planning, decision-making, and procedural content generation. Implement assignments in C++ with SFML.
Video Game AI Course Project Specification - Lecture 2
Explore AI techniques for video games, covering movement, search, planning, decision-making, and procedural content generation. Implement a bot for a retail game using C++ and SFML.
Video Game AI - C++ Setup and Assignment 1 - Lecture 3
Set up C++ environment and explore Assignment 1 for video game AI development, focusing on movement techniques, search algorithms, and decision-making systems.
Video Game AI - Starcraft and Minecraft Project Setup - Lecture 6
Explore AI techniques for Starcraft and Minecraft, including project setup and implementation strategies for game bots using C++ and SFML.
StarCraft AI Research - Lecture 14
Explore AI techniques for video games, including movement, planning, decision-making, and procedural content generation. Implement a bot for a retail game using C++ and SFML.
Video Game AI - Tron AI Tournament - Lecture 19
Explore AI techniques for video games, including movement, search, planning, decision-making, and procedural content generation. Implement a Tron AI bot in C++ using SFML.
Introduction to Artificial Intelligence - Lecture 1: Course Introduction
Explore fundamental AI concepts, algorithms, and data structures for modern problem-solving, with hands-on applications in simple game environments.
Game Programming: Introduction to Entity Component System - Lecture 5
Explore Entity Component System architecture for game development, learning its principles and implementation in C++ with SFML graphics library.
Introduction to Artificial Intelligence - Agents and Environments - Lecture 2
Explore AI agents and environments, learning key concepts and structures for modern problem-solving in intelligent systems.
Intro to Artificial Intelligence - Heuristic Search and the A* Algorithm - Lecture 5
Explore heuristic search techniques and the A* algorithm for efficient problem-solving in AI, with practical applications in game development.
Introduction to Artificial Intelligence: A* Search Algorithm and Optimizations - Lecture 6
Explore A* search algorithm implementation, heuristic functions, and optimization techniques for pathfinding in grid-based environments with varying object sizes and connectivity constraints.