Neural Network Aimbot for FPS games with custom training mode written in C++ providing a fast and efficient framework with scripting support ︻デ═一

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b00m-h3adsh0t! 🔷

Neural Network Configurable Aimbot for First-Person-Shooter Games in C/C++ Note: Aimbots are cheats and illegal in gaming leagues. This repo is solely for educational purposes only.

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Table_of_Contents 🔷

Motivation 🔷

Aimbot_Neural_Network 🔷

Neural_Network_Model_Training_Recognization 🔷

Deep Reinforcement Learning

Q-Learning Adaptation

Dynamic Bayesian Network

Technical_How_Aimbot_Works 🔷

Technical_How_Aimbot_with_Neural_Network_Works 🔷

Client-Server_Back-End_Implementation 🔷

Security_and_Efficiency_Game_Server 🔷

Player_Behavior_Statistics 🔷

Refer to playerdata.h file

User_Privacy 🔷

Player_Attacks 🔷

Glitches and Modifications 🔷

Conclusion 🔷

B00m-h3adsh0t! is a single architecture neural network configurable aimbot for first-person shooting (FPS) games. We introduced a method to augment a deep reinforcement q-learning model with high-level game information, and feature implementation. We showed that b00m-h3adsh0t! model is able to outperform built-in bots as well as human players and demonstrated the generalizability of our model to do game glitches and modifications.

References 🔷