Changes

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "access_rights": "",
2
  "access_rights": "",
            
3
  "author": "Shu Ishida",
3
  "author": "Shu Ishida",
            
4
  "author_email": "",
4
  "author_email": "",
            
5
  "citation": [],
5
  "citation": [],
            
6
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
6
  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
7
  "defined_in": "https://doi.org/10.48550/arXiv.2407.18913",
7
  "defined_in": "https://doi.org/10.48550/arXiv.2407.18913",
            
8
  "doi": "10.57702/rmt51vvl",
8
  "doi": "10.57702/rmt51vvl",
            
n
9
  "doi_date_published": null,
n
9
  "doi_date_published": "2024-12-17",
            
10
  "doi_publisher": "TIB",
10
  "doi_publisher": "TIB",
            
n
11
  "doi_status": false,
n
11
  "doi_status": true,
            
12
  "domain": "https://service.tib.eu/ldmservice",
12
  "domain": "https://service.tib.eu/ldmservice",
            
13
  "extra_authors": [
13
  "extra_authors": [
            
14
    {
14
    {
            
15
      "extra_author": "Jo\u00e3o F. Henriques",
15
      "extra_author": "Jo\u00e3o F. Henriques",
            
16
      "orcid": ""
16
      "orcid": ""
            
17
    }
17
    }
            
18
  ],
18
  ],
            
19
  "groups": [
19
  "groups": [
            
20
    {
20
    {
            
21
      "description": "",
21
      "description": "",
            
22
      "display_name": "Partially-Observable Markov Decision 
22
      "display_name": "Partially-Observable Markov Decision 
            
23
Processes",
23
Processes",
            
24
      "id": "b9883933-0022-4bc4-be7e-6d0fe952ac8e",
24
      "id": "b9883933-0022-4bc4-be7e-6d0fe952ac8e",
            
25
      "image_display_url": "",
25
      "image_display_url": "",
            
26
      "name": "partially-observable-markov-decision-processes",
26
      "name": "partially-observable-markov-decision-processes",
            
27
      "title": "Partially-Observable Markov Decision Processes"
27
      "title": "Partially-Observable Markov Decision Processes"
            
28
    },
28
    },
            
29
    {
29
    {
            
30
      "description": "",
30
      "description": "",
            
31
      "display_name": "Reinforcement Learning",
31
      "display_name": "Reinforcement Learning",
            
32
      "id": "5f9e20df-0af0-4b7e-9637-e244d4a99379",
32
      "id": "5f9e20df-0af0-4b7e-9637-e244d4a99379",
            
33
      "image_display_url": "",
33
      "image_display_url": "",
            
34
      "name": "reinforcement-learning",
34
      "name": "reinforcement-learning",
            
35
      "title": "Reinforcement Learning"
35
      "title": "Reinforcement Learning"
            
36
    }
36
    }
            
37
  ],
37
  ],
            
38
  "id": "3d77e9b8-c2ce-4f79-9de9-8284a5e21153",
38
  "id": "3d77e9b8-c2ce-4f79-9de9-8284a5e21153",
            
39
  "isopen": false,
39
  "isopen": false,
            
40
  "landing_page": "https://github.com/shuishida/SoapRL",
40
  "landing_page": "https://github.com/shuishida/SoapRL",
            
41
  "license_title": null,
41
  "license_title": null,
            
42
  "link_orkg": "",
42
  "link_orkg": "",
            
43
  "metadata_created": "2024-12-17T08:27:53.587928",
43
  "metadata_created": "2024-12-17T08:27:53.587928",
            
n
44
  "metadata_modified": "2024-12-17T08:27:53.587933",
n
44
  "metadata_modified": "2024-12-17T08:27:54.165789",
            
45
  "name": "corridor-environment",
45
  "name": "corridor-environment",
            
46
  "notes": "The corridor environment is a simple environment where the 
46
  "notes": "The corridor environment is a simple environment where the 
            
47
agent has to determine whether the rewarding cell (colored yellow) is 
47
agent has to determine whether the rewarding cell (colored yellow) is 
            
48
at the top or bottom, based on the color of the cell it has seen at 
48
at the top or bottom, based on the color of the cell it has seen at 
            
49
the start (either \u201dblue\u201d or \u201dred\u201d).",
49
the start (either \u201dblue\u201d or \u201dred\u201d).",
            
n
50
  "num_resources": 0,
n
50
  "num_resources": 1,
            
51
  "num_tags": 3,
51
  "num_tags": 3,
            
52
  "organization": {
52
  "organization": {
            
53
    "approval_status": "approved",
53
    "approval_status": "approved",
            
54
    "created": "2024-11-25T12:11:38.292601",
54
    "created": "2024-11-25T12:11:38.292601",
            
55
    "description": "",
55
    "description": "",
            
56
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
56
    "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
57
    "image_url": "",
57
    "image_url": "",
            
58
    "is_organization": true,
58
    "is_organization": true,
            
59
    "name": "no-organization",
59
    "name": "no-organization",
            
60
    "state": "active",
60
    "state": "active",
            
61
    "title": "No Organization",
61
    "title": "No Organization",
            
62
    "type": "organization"
62
    "type": "organization"
            
63
  },
63
  },
            
64
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
64
  "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            
65
  "private": false,
65
  "private": false,
            
66
  "relationships_as_object": [],
66
  "relationships_as_object": [],
            
67
  "relationships_as_subject": [],
67
  "relationships_as_subject": [],
            
t
68
  "resources": [],
t
68
  "resources": [
            
69
    {
            
70
      "cache_last_updated": null,
            
71
      "cache_url": null,
            
72
      "created": "2024-12-17T09:12:47",
            
73
      "data": [
            
74
        "dcterms:title",
            
75
        "dcterms:accessRights",
            
76
        "dcterms:creator",
            
77
        "dcterms:description",
            
78
        "dcterms:issued",
            
79
        "dcterms:language",
            
80
        "dcterms:identifier",
            
81
        "dcat:theme",
            
82
        "dcterms:type",
            
83
        "dcat:keyword",
            
84
        "dcat:landingPage",
            
85
        "dcterms:hasVersion",
            
86
        "dcterms:format",
            
87
        "mls:task",
            
88
        "datacite:isDescribedBy"
            
89
      ],
            
90
      "description": "The json representation of the dataset with its 
            
91
distributions based on DCAT.",
            
92
      "format": "JSON",
            
93
      "hash": "",
            
94
      "id": "0d9d1895-625c-4b1f-bfb4-2b5775f1c7cf",
            
95
      "last_modified": "2024-12-17T08:27:54.157905",
            
96
      "metadata_modified": "2024-12-17T08:27:54.168605",
            
97
      "mimetype": "application/json",
            
98
      "mimetype_inner": null,
            
99
      "name": "Original Metadata",
            
100
      "package_id": "3d77e9b8-c2ce-4f79-9de9-8284a5e21153",
            
101
      "position": 0,
            
102
      "resource_type": null,
            
103
      "size": 929,
            
104
      "state": "active",
            
105
      "url": 
            
106
resource/0d9d1895-625c-4b1f-bfb4-2b5775f1c7cf/download/metadata.json",
            
107
      "url_type": "upload"
            
108
    }
            
109
  ],
            
69
  "services_used_list": "",
110
  "services_used_list": "",
            
70
  "state": "active",
111
  "state": "active",
            
71
  "tags": [
112
  "tags": [
            
72
    {
113
    {
            
73
      "display_name": "corridor environment",
114
      "display_name": "corridor environment",
            
74
      "id": "901fc72e-1996-4874-bb77-426f4ed47059",
115
      "id": "901fc72e-1996-4874-bb77-426f4ed47059",
            
75
      "name": "corridor environment",
116
      "name": "corridor environment",
            
76
      "state": "active",
117
      "state": "active",
            
77
      "vocabulary_id": null
118
      "vocabulary_id": null
            
78
    },
119
    },
            
79
    {
120
    {
            
80
      "display_name": "option discovery",
121
      "display_name": "option discovery",
            
81
      "id": "bd363329-669d-436c-a6d2-98d7c1feadf1",
122
      "id": "bd363329-669d-436c-a6d2-98d7c1feadf1",
            
82
      "name": "option discovery",
123
      "name": "option discovery",
            
83
      "state": "active",
124
      "state": "active",
            
84
      "vocabulary_id": null
125
      "vocabulary_id": null
            
85
    },
126
    },
            
86
    {
127
    {
            
87
      "display_name": "reinforcement learning",
128
      "display_name": "reinforcement learning",
            
88
      "id": "bc5598c0-bc87-456a-9505-1552490050f1",
129
      "id": "bc5598c0-bc87-456a-9505-1552490050f1",
            
89
      "name": "reinforcement learning",
130
      "name": "reinforcement learning",
            
90
      "state": "active",
131
      "state": "active",
            
91
      "vocabulary_id": null
132
      "vocabulary_id": null
            
92
    }
133
    }
            
93
  ],
134
  ],
            
94
  "title": "Corridor Environment",
135
  "title": "Corridor Environment",
            
95
  "type": "dataset",
136
  "type": "dataset",
            
96
  "version": ""
137
  "version": ""
            
97
}
138
}