{"id":6640,"date":"2025-05-07T06:02:00","date_gmt":"2025-05-06T21:02:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=6640"},"modified":"2025-05-07T06:02:00","modified_gmt":"2025-05-06T21:02:00","slug":"plasticine-accelerating-research-in-plasticity-motivated-deep-reinforcement-learning","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=6640","title":{"rendered":"Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning\u00a0"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><strong>Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning\u00a0<\/strong>[122.7]<br>Plasticine\u306f\u3001\u6df1\u5c64\u5f37\u5316\u5b66\u7fd2\u306b\u304a\u3051\u308b\u5851\u6027\u6700\u9069\u5316\u3092\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3059\u308b\u305f\u3081\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3042\u308b\u3002 Plasticine\u306f13\u4ee5\u4e0a\u306e\u7de9\u548c\u30e1\u30bd\u30c3\u30c9\u3001\u8a55\u4fa1\u30e1\u30c8\u30ea\u30af\u30b910\u3001\u5b66\u7fd2\u30b7\u30ca\u30ea\u30aa\u306e\u5358\u4e00\u30d5\u30a1\u30a4\u30eb\u5b9f\u88c5\u3092\u63d0\u4f9b\u3059\u308b\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2504.17490v1\">\u8ad6\u6587<\/a>\u00a0\u00a0<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2504.17490v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>\u00a0 \u00a0(Thu, 24 Apr 2025 12:32:13 GMT)<\/li>\n\n\n\n<li>\u300cWe introduce Plasticine, the first open-source framework for benchmarking plasticity optimization in deep RL.\u300d\u3068\u3044\u3046\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3002\n<ul class=\"wp-block-list\">\n<li>\u300cplasticity loss, a phenomenon in which neural networks in RL agents gradually lose their ability to adapt and incorporate new information as training progresses (Dohare et al , 2024; Klein et al , 2024), thus significantly impeding the development of truly lifelong learning agents (Lyle and Pascanu, 2024).\u300d<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>\u30ea\u30dd\u30b8\u30c8\u30ea\u306f<a href=\"https:\/\/github.com\/RLE-Foundation\/Plasticine\">GitHub &#8211; RLE-Foundation\/Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[517],"class_list":["post-6640","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-517"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/6640","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6640"}],"version-history":[{"count":1,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/6640\/revisions"}],"predecessor-version":[{"id":6707,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/6640\/revisions\/6707"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6640"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6640"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6640"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}