Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry

Hu, Zhipeng; Liu, Haoyu; Xiong, Yingfei; Wang, Lizi; Wu, Runze; Guan, Kai; Hu, Youyou; Lyu, Tangjie; Fan, Changjie

doi:10.1007/s11042-023-15361-6

Cited by 3 publications

(1 citation statement)

References 36 publications

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“…Moreover, this partnership makes it possible to create more customized gaming experiences. AI characters can adjust to each player's unique playing methods, providing experiences and challenges specific to their abilities and preferences [57]. From new players to seasoned players, this customization increases the game's accessibility and enjoyment.…”

Section: Ai-player Interaction Virtual Gamementioning

confidence: 99%

Natural Language Processing Influence on Digital Socialization and Linguistic Interactions in the Integration of the Metaverse in Regular Social Life

Sumon,

Uddin,

Akter

et al. 2024

Electronics

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The Metaverse and Natural Language Processing (NLP) technologies have combined to fundamentally change the nature of digital sociability. Our understanding of social interaction needs to be reevaluated as the Metaverse’s influence spreads into more areas of daily life, such as AI-driven gaming, interactive training companions, museum exhibits, personalized fitness coaching, virtual mental health assistance, language translation services, virtual tour guiding, and virtual conferencing. This study analyzes how NLP is changing social relationships in these Metaverse applications. We examine how NLP algorithms influence societal norms, individual behaviors, interpersonal connections, and improve the user experience using a multi-method approach incorporating user surveys and sentiment analysis. Our study’s findings show how NLP can enhance interactive experiences while also pointing out related issues like potential bias and moral problems. Our study provides a foundational analysis, shedding light on the challenges of negotiating a social environment in the Metaverse that is molded by cutting-edge NLP. It offers stakeholders in academia and public policy essential assistance that helps them understand and manage the complex ramifications of this changing socio-technological paradigm.

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Section: Ai-player Interaction Virtual Gamementioning

confidence: 99%

Natural Language Processing Influence on Digital Socialization and Linguistic Interactions in the Integration of the Metaverse in Regular Social Life

Sumon,

Uddin,

Akter

et al. 2024

Electronics

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A concise review of intelligent game agent

Li,

Pang,

Sun

et al. 2025

Entertainment Computing

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Quantitative Studies of Deep Reinforcement Learning in Gaming, Robotics and Real-World Control Systems

KHAN,

MEHAK,

YASIR

et al. 2023

BBE

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Deep Reinforcement Learning (DRL) has emerged as a transformative paradigm with profound implications for gaming, robotics, real-world control systems, and beyond. This quantitative analysis delves into the applications of DRL across these domains, assessing its capabilities, challenges, and potential. In the gaming realm, we showcase DRL's prowess through significant score improvements in benchmark games, with DQN and PPO leading the way. A3C underscores its adaptability through strong generalization within the gaming domain. While specific robotics and real-world control results are not presented here, their promise in enhancing task completion and precision is evident. Sample efficiency and safety strategies address critical concerns, demonstrating DRL's capacity to optimize resource utilization and ensure robustness. Generalization and transfer learning underscore DRL's adaptability to new scenarios. While these findings are not empirical but illustrative, they emphasize DRL's versatility and highlight the need for continued research to unlock its full potential in addressing complex real-world challenges.

show abstract

Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry

Cited by 3 publications

References 36 publications

Natural Language Processing Influence on Digital Socialization and Linguistic Interactions in the Integration of the Metaverse in Regular Social Life

Natural Language Processing Influence on Digital Socialization and Linguistic Interactions in the Integration of the Metaverse in Regular Social Life

A concise review of intelligent game agent

Quantitative Studies of Deep Reinforcement Learning in Gaming, Robotics and Real-World Control Systems

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