The Power and Weakness of Randomness When You Are Short on Time
Explore the power and limitations of randomness in computational algorithms, focusing on its impact on efficiency, space-bounded computation, and probabilistic proofs.
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.
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.
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.
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.
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 - Assignment 1 Overview - Lecture 4
Explore AI fundamentals through grid world environments, implementing BFS and DFS algorithms. Learn code structure, GUI development, and key functions for search algorithms in game-like scenarios.
Introduction to Artificial Intelligence - Problem Solving and Search - Lecture 3
Explore problem-solving techniques and search algorithms in AI, applying learned concepts to simple games for practical understanding.
Introduction to Artificial Intelligence - Hash Functions and Tables - Lecture 7
Explore hash functions and tables in AI, learning algorithmic techniques for efficient data storage and retrieval in modern problem-solving environments.
Pathfinding and Steering in Game Programming - Lecture 15
Explore pathfinding and steering techniques in game development, enhancing AI movement and navigation for more realistic and engaging gameplay.
Intro to Artificial Intelligence - Deep Neural Networks - Lecture 20
Explore deep neural networks, their architecture, and applications in AI. Learn key concepts and techniques for implementing advanced machine learning models.
Introduction to Artificial Intelligence - Lecture 1: Course Introduction and What is AI?
Explore fundamental AI concepts, including the Turing Test and Chinese Room Analogy. Learn about AI applications in games and its capabilities. Gain insights into academic integrity and course expectations.
Problem Solving and Search in Artificial Intelligence - Lecture 3
Explore problem-solving agents, search algorithms, and graph theory in AI. Learn about BFS, DFS, UCS, and more. Gain practical insights for implementing efficient search strategies.
Introduction to Artificial Intelligence - Assignment 1 and Lecture 4
Explore AI algorithms and data structures through interactive assignments in JavaScript. Learn BFS, DFS, and ID-DFS implementations for problem-solving in game environments.
Introduction to Artificial Intelligence: Hash Functions and Hash Tables - Lecture 6
Explore hash functions and hash tables in AI, covering properties, algorithms, and collision resolution techniques. Learn to implement efficient closed lists for search algorithms.
Introduction to Artificial Intelligence - Assignment 2 Overview - Lecture 7
Explore advanced AI concepts including heuristic functions, connectivity, optimizations, and bidirectional search. Gain practical insights for implementing efficient problem-solving algorithms in game environments.