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Title: | Deep reinforcement learning for complex environment 1 | Authors: | Goh, Peng Aik | Keywords: | Computer and Information Science | Issue Date: | 2024 | Publisher: | Nanyang Technological University | Source: | Goh, P. A. (2024). Deep reinforcement learning for complex environment 1. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175205 | Project: | SCSE23-0059 | Abstract: | This project delves into creating an Artificial Intelligence (AI) model tailored for the game Werewolf, focusing on strategic gameplay and realistic interaction. It aims to craft an AI by understanding and adapting to the intricate dynamics of the game and the nuances of player behaviour using deep reinforcement learning and large language models (LLMs). Through this, the project also aims to find out weaknesses in logic of LLMs and how these weaknesses can be alleviated with the aid of reinforcement learning and other means. | URI: | https://hdl.handle.net/10356/175205 | Schools: | School of Computer Science and Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
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File | Description | Size | Format | |
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Goh Peng Aik FYP final report.pdf Restricted Access | 424.81 kB | Adobe PDF | View/Open |
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