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  Published Paper Details:

  Paper Title

AI DRIVEN NON-PLAYABLE CHARACTER

  Authors

  Roopa K Murthy,  Mohammad Kaif,  Mahmood Zayan,  Sai Kiran,  Golla Sukumar

  Keywords

Reinforcement learning, Conversational AI, Simulation, Dynamic-Decision making, Animation, Open-world exploration, virtualization

  Abstract


Non playable character (NPC) is the core of an immersive and realistic game. As gaming turns into a huge industry, traditional script following NPCs need to be replaced with more dynamic characterization. This can be done through integrating an AI to the NPCs to make the game more immersive and enhance the realism of the game. Taking advantage of AI, an NPC can be given a framework which uses reinforcement learning and conversational AI within a simulation environment. This allows the NPC to engage in natural conversations with the player, learn from their past interactions and dynamically adapt their behavior with respect to the player. Using reinforcement learning the NPC are able to enhance their decision making based on their previous interactions with the player. Conversational AI makes the dialogue have more depth and context aware of the in-game environment. Testing the NPC in stimulated environment, the results demonstrate a more realistic and self-aware NPC.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTBE02083

  Paper ID - 289407

  Page Number(s) - 606-608

  Pubished in - Volume 13 | Issue 7 | July 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Roopa K Murthy,  Mohammad Kaif,  Mahmood Zayan,  Sai Kiran,  Golla Sukumar,   "AI DRIVEN NON-PLAYABLE CHARACTER", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 7, pp.606-608, July 2025, Available at :http://www.ijcrt.org/papers/IJCRTBE02083.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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