Inductive biases for decision-making in multi-agent systems다중 에이전트 시스템에서의 의사결정을 위한 귀납편향
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 박진규 | - |
| dc.contributor.author | Ahn, Kyu Ree | - |
| dc.contributor.author | 안규리 | - |
| dc.date.accessioned | 2024-07-26T19:30:35Z | - |
| dc.date.available | 2024-07-26T19:30:35Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1046813&flag=dissertation | en_US |
| dc.identifier.uri | http://hdl.handle.net/10203/320863 | - |
| dc.description | 학위논문(박사) - 한국과학기술원 : 산업및시스템공학과, 2023.8,[vi, 61 p. :] | - |
| dc.description.abstract | Multi-agent systems (MAS) are groups of autonomous agents that interact with each other to achieve common goals. Decision-making in MAS can be a challenging task, as it involves coordinating the actions of multiple agents with potentially conflicting objectives. Inductive biases are a set of assumptions or biases that guide the learning process of an agent, which can be used to improve decision-making in MAS. This paper discusses various types of inductive biases that can be used to improve decision-making in MAS. | - |
| dc.language | eng | - |
| dc.publisher | 한국과학기술원 | - |
| dc.subject | 다중에이전트 시스템▼a다중에이전트 강화학습▼a그래프 신경망▼a다중에이전트 길찾기 | - |
| dc.subject | Multi-agent systems▼aMulti-agent reinforcement learning▼aGraph neural networks▼aMulti-agent pathfinding | - |
| dc.title | Inductive biases for decision-making in multi-agent systems | - |
| dc.title.alternative | 다중 에이전트 시스템에서의 의사결정을 위한 귀납편향 | - |
| dc.type | Thesis(Ph.D) | - |
| dc.identifier.CNRN | 325007 | - |
| dc.description.department | 한국과학기술원 :산업및시스템공학과, | - |
| dc.contributor.alternativeauthor | Park, Jinkyoo | - |
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