Frutos-Pascual, Maite, and Begonya Garcia Zapirain. "Review of the Use of AI Techniques in Serious Games: Decision Making and Machine Learning." IEEE Transactions on Computational Intelligence and AI in Games. , vol. 9 , no. 2 , 2017, pp. 133 – 52 ,

Bulo, Samuel Rota, et al. "Randomized Prediction Games for Adversarial Machine Learning." IEEE Transactions on Neural Networks and Learning Systems , vol. 28 , no. 11 , 2017, pp. 2466 – 78 ,

Na, Le. "Natural Language-Based Human-Machine Collaborative Learning Games Algorit hm Based on Deep Reinforcement Learning." IEEE Access , vol. 12 , 2024, pp. 28818 – 30 ,

Mozgovoy, Maxim. "Editorial: Applications of Artificial Intelligence and Machine Learning in Games." Applied Sciences , vol. 14 , no. 19 , 2024, p. 8782 .

SPRONCK, Pieter, et al. "Adaptive Game AI with Dynamic Scripting: Machine Learning and Games." Machine Learning , vol. 63 , no. 3 , 2006, pp. 217 – 48 ,

Xie Zheng, et al. "From AIGC to AIGA: A New Frontier in Intelligence—Large Decision Models." Science Observation 19.02 (2024): 14–33.

Hu, Zhipeng. Research and Application of Artificial Intelligence in the Interactive Entertainment Industry. 2024. Zhejiang University, PhD dissertation.

Gallotta, Roberto, et al. "Large Language Models and Games: A Survey and Roadmap." NASA ADS, 1 Feb. 2024.

Zhang, Yue, et al. "Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models."

Huang, Lei, et al. "A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Cha llenges, and Open Questions." ACM Transactions on Office Information Systems, vol. 43 , no. 2 , 20 Nov. 2024.

Ji, Ziwei, et al. "Survey of Hallucination in Natural Language Generation." ArXiv:2202.03629 [Cs], 22 Feb. 2022,

Sadredini, Elaheh, et al. "Impala: Algorithm/Architecture Co-Design for In-Memory Multi-Stride Pattern Matching." 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA), Feb. 2020 , pp. 86 – 98 .

Kulkarni, Tejas D, et al. "Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation."

Hasselt, van, et al. "Deep Reinforcement Learning with Double Q-Learning." ArXiv.org, 2015.