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Multi-Objective Reinforcement Learning on Xi’an transport planning environment

0.93Normalized Hypervolume

PCN

Updated 23d ago

Evaluation Results

Method	Links
PCN 2024.11		0.93	0.97	0.78	0.18
PCN 2024.11		0.89	0.96	0.87	0.1
LCN 2024.11		0.86	0.95	0.93	0.06
PCN 2024.11		0.83	0.94	0.67	0.3
LCN-Redist. 2024.11		0.79	0.92	0.97	0.01
LCN-Mean 2024.11		0.78	0.91	0.9	0.07
LCN 2024.11		0.71	0.89	0.91	0.09
LCN 2024.11		0.71	0.91	0.91	0.25
LCN-Mean 2024.11		0.7	0.89	0.92	0.1
LCN-Redist. 2024.11		0.69	0.88	0.96	0.05
LCN 2024.11		0.67	0.8	0.87	0.23
LCN-Redist. 2024.11		0.64	0.83	0.77	0.21
PCN 2024.11		0.63	0.86	0.71	0.3
LCN 2024.11		0.6	0.74	0.77	0.33
LCN-Redist. 2024.11		0.6	0.89	0.77	0.23
PCN 2024.11		0.56	0.83	0.64	0.3
LCN 2024.11		0.55	0.5	0.79	0.25
LCN 2024.11		0.54	0.79	0.86	0.19
LCN-Redist. 2024.11		0.53	0.63	0.59	0.33
LCN-Mean 2024.11		0.52	0.78	0.87	0.24
LCN-Mean 2024.11		0.51	0.84	0.9	0.25
LCN-Mean 2024.11		0.49	0.71	0.84	0.23
LCN-Redist. 2024.11		0.48	0.73	0.82	0.18
LCN 2024.11		0.46	0.38	0.81	0.3
LCN-Redist. 2024.11		0.39	0.52	0.62	0.27
LCN-Mean 2024.11		0.37	0.26	0.78	0.26
LCN-Redist. 2024.11		0.31	0.86	0.54	0.4
LCN 2024.11		0.29	0.42	0.62	0.3
LCN-Mean 2024.11		0.28	0.22	0.8	0.32
LCN-Redist. 2024.11		0.19	0.92	0.56	0.45
PCN 2024.11		0.17	0.57	0.51	0.34
LCN-Mean 2024.11		0.15	0.25	0.76	0.3
LCN-Mean 2024.11		0.12	0.39	0.71	0.39
GPI-LS 2024.11		0.11	0.27	0.21	0.3
GPI-LS 2024.11		0.08	0.24	0.26	0.3
PCN 2024.11		0.07	0.55	0.46	0.44
GPI-LS 2024.11		0.05	0.33	0.23	0.46
GPI-LS 2024.11		0.03	0.42	0.25	0.5
GPI-LS 2024.11		0.02	0.38	0.2	0.49
PCN 2024.11		0.02	0.39	0.45	0.43
PCN 2024.11		0	0.27	0.43	0.46