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A Junction Tree based Reinforcement Learning Algorithm for Coordinated Multi Agent Systems to Solve Network level Signal Control Problems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhu, Feng Aziz, H. M. Abdul Qian, Zinwu Ukkusuri, Satish V. |
| Copyright Year | 2014 |
| Abstract | 1) To propose multi-agent RL based signal control algorithm where agents coordinate their decisions 2) Compare the coordinated learning and isolated learning algorithms 3) To demonstrate the coordinated control algorithm as a potential application in the CV environment 4) To assess the environmental impacts of the proposed controller using a dynamic emissions simulator (MOVES2010) Feng Zhu (zhu214@purdue.edu), H. M. Abdul Aziz (haziz@purdue.edu), Xinwu Qian (xinwu.qian.1@purdue.edu); Purdue University Satish V. Ukkusuri, Associate Professor, Purdue University (sukkusur@purdue.edu) |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1422&context=roadschool |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
