f | { | f | { |
| "access_rights": "", | | "access_rights": "", |
n | "author": "Weijun Hong", | n | "author": "Chiu-Chou Lin", |
| "author_email": "", | | "author_email": "", |
n | "citation": [ | n | "citation": [], |
| "https://doi.org/10.48550/arXiv.2002.10021", | | |
| "https://doi.org/10.48550/arXiv.1606.04671" | | |
| ], | | |
| "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", |
n | "defined_in": "https://doi.org/10.48550/arXiv.2402.02769", | n | "defined_in": "", |
| "doi": "10.57702/r57zuuf6", | | "doi": "10.57702/r57zuuf6", |
| "doi_date_published": "2024-12-02", | | "doi_date_published": "2024-12-02", |
| "doi_publisher": "TIB", | | "doi_publisher": "TIB", |
| "doi_status": true, | | "doi_status": true, |
| "domain": "https://service.tib.eu/ldmservice", | | "domain": "https://service.tib.eu/ldmservice", |
| "extra_authors": [ | | "extra_authors": [ |
| { | | { |
n | "extra_author": "Weinan Zhang", | n | "extra_author": "Wei-Chen Chiu", |
| "orcid": "" | | "orcid": "" |
| }, | | }, |
| { | | { |
n | "extra_author": "Menghui Zhu", | n | |
| "orcid": "" | | |
| }, | | |
| { | | |
| "extra_author": "Ming Zhou", | | |
| "orcid": "" | | |
| }, | | |
| { | | |
| "extra_author": "Peng Sun", | | "extra_author": "I-Chen Wu", |
| "orcid": "" | | |
| }, | | |
| { | | |
| "extra_author": "Minghuan Liu", | | |
| "orcid": "" | | |
| }, | | |
| { | | |
| "extra_author": "Yong Yu", | | |
| "orcid": "" | | "orcid": "" |
| } | | } |
| ], | | ], |
| "groups": [ | | "groups": [ |
| { | | { |
| "description": "", | | "description": "", |
n | "display_name": "Deep Learning", | n | "display_name": "Playstyle Analysis", |
| "id": "d2734132-7098-4cc5-9f4c-5f9b6e1d7922", | | "id": "fbef1250-e490-4d73-a8d9-5ff72670495c", |
| "image_display_url": "", | | "image_display_url": "", |
n | "name": "deep-learning", | n | "name": "playstyle-analysis", |
| "title": "Deep Learning" | | "title": "Playstyle Analysis" |
| }, | | }, |
| { | | { |
| "description": "", | | "description": "", |
n | "display_name": "Game Playing", | n | "display_name": "Video Games", |
| "id": "ead15f2a-139b-4bc4-a97d-5228a5903de4", | | "id": "8b35a448-9fd4-4c76-8813-47553588c785", |
| "image_display_url": "", | | "image_display_url": "", |
n | "name": "game-playing", | n | "name": "video-games", |
| "title": "Game Playing" | | "title": "Video Games" |
| }, | | |
| { | | |
| "description": "", | | |
| "display_name": "Reinforcement Learning", | | |
| "id": "5f9e20df-0af0-4b7e-9637-e244d4a99379", | | |
| "image_display_url": "", | | |
| "name": "reinforcement-learning", | | |
| "title": "Reinforcement Learning" | | |
| } | | } |
| ], | | ], |
| "id": "0e564bb0-1e29-4c1c-b670-df0056761076", | | "id": "0e564bb0-1e29-4c1c-b670-df0056761076", |
| "isopen": false, | | "isopen": false, |
n | "landing_page": "https://arxiv.org/abs/1503.06432", | n | "landing_page": "", |
| "license_title": null, | | "license_title": null, |
| "link_orkg": "", | | "link_orkg": "", |
| "metadata_created": "2024-12-02T22:24:30.273579", | | "metadata_created": "2024-12-02T22:24:30.273579", |
n | "metadata_modified": "2024-12-02T22:24:30.875618", | n | "metadata_modified": "2024-12-03T07:53:11.521536", |
| "name": "atari-games", | | "name": "atari-games", |
n | "notes": "The dataset used in the paper is the Atari games dataset, | n | "notes": "The dataset used in the paper is a collection of game |
| specifically the Berzerk, Krull, and River Raid games.", | | recordings from seven Atari games.", |
| "num_resources": 1, | | "num_resources": 0, |
| "num_tags": 7, | | "num_tags": 3, |
| "organization": { | | "organization": { |
| "approval_status": "approved", | | "approval_status": "approved", |
| "created": "2024-11-25T12:11:38.292601", | | "created": "2024-11-25T12:11:38.292601", |
| "description": "", | | "description": "", |
| "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", |
| "image_url": "", | | "image_url": "", |
| "is_organization": true, | | "is_organization": true, |
| "name": "no-organization", | | "name": "no-organization", |
| "state": "active", | | "state": "active", |
| "title": "No Organization", | | "title": "No Organization", |
| "type": "organization" | | "type": "organization" |
| }, | | }, |
| "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", |
| "private": false, | | "private": false, |
| "relationships_as_object": [], | | "relationships_as_object": [], |
| "relationships_as_subject": [], | | "relationships_as_subject": [], |
n | "resources": [ | n | "resources": [], |
| { | | |
| "cache_last_updated": null, | | |
| "cache_url": null, | | |
| "created": "2024-12-02T22:29:38", | | |
| "data": [ | | |
| "dcterms:title", | | |
| "dcterms:accessRights", | | |
| "dcterms:creator", | | |
| "dcterms:description", | | |
| "dcterms:issued", | | |
| "dcterms:language", | | |
| "dcterms:identifier", | | |
| "dcat:theme", | | |
| "dcterms:type", | | |
| "dcat:keyword", | | |
| "dcat:landingPage", | | |
| "dcterms:hasVersion", | | |
| "dcterms:format", | | |
| "mls:task", | | |
| "datacite:isDescribedBy" | | |
| ], | | |
| "description": "The json representation of the dataset with its | | |
| distributions based on DCAT.", | | |
| "format": "JSON", | | |
| "hash": "", | | |
| "id": "387bd032-6e73-48a8-a29a-9b91bd813c4d", | | |
| "last_modified": "2024-12-02T22:24:30.867700", | | |
| "metadata_modified": "2024-12-02T22:24:30.878403", | | |
| "mimetype": "application/json", | | |
| "mimetype_inner": null, | | |
| "name": "Original Metadata", | | |
| "package_id": "0e564bb0-1e29-4c1c-b670-df0056761076", | | |
| "position": 0, | | |
| "resource_type": null, | | |
| "size": 968, | | |
| "state": "active", | | |
| "url": | | |
| resource/387bd032-6e73-48a8-a29a-9b91bd813c4d/download/metadata.json", | | |
| "url_type": "upload" | | |
| } | | |
| ], | | |
| "services_used_list": "", | | "services_used_list": "", |
| "state": "active", | | "state": "active", |
| "tags": [ | | "tags": [ |
| { | | { |
n | "display_name": "Atari Games", | n | "display_name": "game recordings", |
| "id": "d2e7f47d-054d-4a61-9124-7cbecab58fb1", | | "id": "2d36bfd4-c206-4858-8166-911024138279", |
| "name": "Atari Games", | | "name": "game recordings", |
| "state": "active", | | "state": "active", |
| "vocabulary_id": null | | "vocabulary_id": null |
| }, | | }, |
| { | | { |
n | "display_name": "Atari games", | n | "display_name": "playstyle analysis", |
| "id": "ec226b54-ffc3-4d6b-8695-a9d93532324e", | | "id": "85ae9472-87e0-4eb5-b305-849bbbff9bae", |
| "name": "Atari games", | | "name": "playstyle analysis", |
| "state": "active", | | "state": "active", |
| "vocabulary_id": null | | "vocabulary_id": null |
| }, | | }, |
| { | | { |
n | "display_name": "Deep Learning", | n | |
| "id": "3feb7b21-e049-4dca-9372-0d438c483f6a", | | |
| "name": "Deep Learning", | | |
| "state": "active", | | |
| "vocabulary_id": null | | |
| }, | | |
| { | | |
| "display_name": "Deep Q-Networks", | | |
| "id": "f54e7b81-9cee-4ef5-ac02-88d2f5323624", | | |
| "name": "Deep Q-Networks", | | |
| "state": "active", | | |
| "vocabulary_id": null | | |
| }, | | |
| { | | |
| "display_name": "Game Playing", | | "display_name": "video games", |
| "id": "cd0eef74-e794-4446-9138-cf2ced86cbd9", | | "id": "5c70cd9a-b359-4e26-bf5d-3fc515f8e835", |
| "name": "Game Playing", | | "name": "video games", |
| "state": "active", | | |
| "vocabulary_id": null | | |
| }, | | |
| { | | |
| "display_name": "Reinforcement Learning", | | |
| "id": "0bd14238-9c5d-4905-8165-c7e5a0c0884c", | | |
| "name": "Reinforcement Learning", | | |
| "state": "active", | | |
| "vocabulary_id": null | | |
| }, | | |
| { | | |
| "display_name": "Reinforcement learning", | | |
| "id": "b095abbe-b66d-40c6-8945-32f999262fee", | | |
| "name": "Reinforcement learning", | | |
| "state": "active", | | "state": "active", |
| "vocabulary_id": null | | "vocabulary_id": null |
| } | | } |
| ], | | ], |
t | "title": "Atari Games", | t | "title": "Atari games", |
| "type": "dataset", | | "type": "dataset", |
| "version": "" | | "version": "" |
| } | | } |