Deep reinforcement learning for complex environment 1
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...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175205 |
| _version_ | 1826123886570242048 |
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| author | Goh, Peng Aik |
| author2 | Bo An |
| author_facet | Bo An Goh, Peng Aik |
| author_sort | Goh, Peng Aik |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T06:11:59Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/175205 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:11:59Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1752052024-04-19T15:42:39Z Deep reinforcement learning for complex environment 1 Goh, Peng Aik Bo An School of Computer Science and Engineering boan@ntu.edu.sg Computer and Information Science 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. Bachelor's degree 2024-04-19T13:40:31Z 2024-04-19T13:40:31Z 2024 Final Year Project (FYP) 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 https://hdl.handle.net/10356/175205 en SCSE23-0059 application/pdf Nanyang Technological University |
| spellingShingle | Computer and Information Science Goh, Peng Aik Deep reinforcement learning for complex environment 1 |
| title | Deep reinforcement learning for complex environment 1 |
| title_full | Deep reinforcement learning for complex environment 1 |
| title_fullStr | Deep reinforcement learning for complex environment 1 |
| title_full_unstemmed | Deep reinforcement learning for complex environment 1 |
| title_short | Deep reinforcement learning for complex environment 1 |
| title_sort | deep reinforcement learning for complex environment 1 |
| topic | Computer and Information Science |
| url | https://hdl.handle.net/10356/175205 |
| work_keys_str_mv | AT gohpengaik deepreinforcementlearningforcomplexenvironment1 |