Abstract
This publication describes a DQN-based Modular Neural Network architecture designed for Game AI applications. The system combines a Deep Q-Network (DQN) with a Convolutional Neural Network (CNN), Long Short-Term Memory Network (LSTM), and Spiking Neural Network (SNN) in a modular, sequential structure to process game state information, learn optimal strategies, and make decisions.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Gagnon, Renee, "Defensive Publication: Multi-modal Modular Neural Network for Game AI", Technical Disclosure Commons, (July 07, 2024)
https://www.tdcommons.org/dpubs_series/7168
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