Game AI Programming — LearnFlat

Game AI Programming

Bring game worlds to life by programming intelligent non-player characters (NPCs). Learn about pathfinding, behavior trees, state machines, and other AI techniques used in modern games.

442 courses

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Eller's Algorithm for Maze Generation: Row-by-Row Procedural Design

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Minesweeper Strategy: Mastering Grids with Divide and Conquer

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Maze Generation with the Binary Tree Algorithm

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Implementing the Evaluator-Optimizer Pattern for Iterative AI

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Coding Agents with CrewAI: Build Autonomous Developer Workflows

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Designing 2048: Game Logic and AI-Assisted Python Coding

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Go Fundamentals: Code Logic and Output Prediction

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Modified Prim's Algorithm for Maze Generation

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Gomoku AI: Build Human vs Computer Game Logic

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Demystifying Coroutines: Internal Mechanics

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Pushdown Automata: Designing Stack-Based Language Recognizers

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Maze Weaving with Overcell and Undercell Classes

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Design and Generate Braiding and Weaving Mazes

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Build Mazes with Ruby: Foundational Algorithms

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Ruby Hangman Game: Program Text-Based Visuals

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Programming Game AI: Crafting Opponent Moves

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Procedural Maze Generation Using ASCII Masks

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Ruby Programming Project: Build a Command-Line 21 Game

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Designing Shaped Mazes with Grid Masking Techniques

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Designing Self-Improving AI Web Agents

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Ruby Game Logic: Coding Win and Loss Conditions in Hangman

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Maze Generation Algorithms: Binary Tree and Sidewinder Essentials

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Python Game Logic: Implementing 2048 Board Movement

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Go Code Challenges: Solving Type and Interface Puzzles

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Showing 265–288 of 442 courses