Decision-making of autonomous driving based on reinforcement learning
This project aims to utilize a particular machine learning technique called reinforcement learning (RL) in order to develop a particular technological aspect of autonomous vehicles (AV) called decision-making. A few commonly used RL algorithms such as PPO, SAC & TD3 will be implemented along wit...
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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/10356/177878 |
| _version_ | 1826118624339820544 |
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| author | Shi, Max Ziyi |
| author2 | Lyu Chen |
| author_facet | Lyu Chen Shi, Max Ziyi |
| author_sort | Shi, Max Ziyi |
| collection | NTU |
| description | This project aims to utilize a particular machine learning technique called reinforcement learning (RL) in order to develop a particular technological aspect of autonomous vehicles (AV) called decision-making. A few commonly used RL algorithms such as PPO, SAC & TD3 will be implemented along with optimization in order to build and train RL models that will allow a self-driving car in a simulated environment to operate autonomously. The models are evaluated based on quantitative metrics that ensures safety and dynamic performance of the AV. |
| first_indexed | 2024-10-01T04:46:33Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/177878 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:46:33Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1778782024-06-08T16:51:24Z Decision-making of autonomous driving based on reinforcement learning Shi, Max Ziyi Lyu Chen School of Mechanical and Aerospace Engineering lyuchen@ntu.edu.sg Computer and Information Science Engineering This project aims to utilize a particular machine learning technique called reinforcement learning (RL) in order to develop a particular technological aspect of autonomous vehicles (AV) called decision-making. A few commonly used RL algorithms such as PPO, SAC & TD3 will be implemented along with optimization in order to build and train RL models that will allow a self-driving car in a simulated environment to operate autonomously. The models are evaluated based on quantitative metrics that ensures safety and dynamic performance of the AV. Bachelor's degree 2024-06-03T08:38:18Z 2024-06-03T08:38:18Z 2024 Final Year Project (FYP) Shi, M. Z. (2024). Decision-making of autonomous driving based on reinforcement learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177878 https://hdl.handle.net/10356/177878 en C050 application/pdf Nanyang Technological University |
| spellingShingle | Computer and Information Science Engineering Shi, Max Ziyi Decision-making of autonomous driving based on reinforcement learning |
| title | Decision-making of autonomous driving based on reinforcement learning |
| title_full | Decision-making of autonomous driving based on reinforcement learning |
| title_fullStr | Decision-making of autonomous driving based on reinforcement learning |
| title_full_unstemmed | Decision-making of autonomous driving based on reinforcement learning |
| title_short | Decision-making of autonomous driving based on reinforcement learning |
| title_sort | decision making of autonomous driving based on reinforcement learning |
| topic | Computer and Information Science Engineering |
| url | https://hdl.handle.net/10356/177878 |
| work_keys_str_mv | AT shimaxziyi decisionmakingofautonomousdrivingbasedonreinforcementlearning |