{"id":12380,"date":"2026-03-26T13:54:15","date_gmt":"2026-03-26T13:54:15","guid":{"rendered":"https:\/\/humanoid.guide\/product\/reveur\/"},"modified":"2026-06-15T10:27:44","modified_gmt":"2026-06-15T10:27:44","slug":"reveur","status":"publish","type":"product","link":"https:\/\/humanoid.guide\/fr\/produit\/reveur\/","title":{"rendered":"R\u00eaveur"},"content":{"rendered":"<p class=\"p1\">DayDreamer est un mod\u00e8le de base qui forme les robots directement dans des environnements r\u00e9els en tirant des enseignements des donn\u00e9es visuelles et de l&rsquo;exp\u00e9rience acquise. Au lieu de se baser sur la simulation, il observe les r\u00e9sultats et s&rsquo;am\u00e9liore gr\u00e2ce \u00e0 une interaction continue. Par cons\u00e9quent, ce mod\u00e8le permet d&rsquo;acqu\u00e9rir d\u00e8s le d\u00e9part des comp\u00e9tences pratiques qui refl\u00e8tent les conditions r\u00e9elles. De plus, cette approche comble le foss\u00e9 entre les environnements simul\u00e9s et les environnements r\u00e9els, ce qui ralentit souvent le d\u00e9ploiement.<\/p>\n<p class=\"p1\">De plus, DayDreamer utilise un mod\u00e8le du monde pour envisager les issues possibles avant d&rsquo;agir. Il peut ainsi \u00e9valuer ses strat\u00e9gies en interne et adopter des comportements plus efficaces. Cette capacit\u00e9 pr\u00e9dictive acc\u00e9l\u00e8re l&rsquo;apprentissage tout en r\u00e9duisant les erreurs. Comme il fonctionne \u00e0 partir d&rsquo;images brutes, le syst\u00e8me s&rsquo;adapte \u00e0 diff\u00e9rentes configurations sans n\u00e9cessiter de r\u00e9glages complexes. DayDreamer permet ainsi aux robots d&rsquo;adopter un comportement plus naturel, plus efficace et mieux adapt\u00e9 aux situations r\u00e9elles.<\/p>\n<p>Contact  <a href=\"https:\/\/humanoid.guide\/contact-us\/\">Humanoid.guide<\/a><\/p>\n<p>Site web : <a href=\"https:\/\/rail.eecs.berkeley.edu\">https:\/\/rail.eecs.berkeley.edu<\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-2427 size-full\" src=\"https:\/\/humanoid.guide\/wp-content\/uploads\/2026\/03\/UC-Berkley-logo-humanoid-guide.webp\" alt=\"Guide sur le logo humano\u00efde de l'Universit\u00e9 de Californie \u00e0 Berkeley\" width=\"300\" height=\"90\"><\/p>\n<p class=\"p1\">Agent d&rsquo;apprentissage par renforcement bas\u00e9 sur un mod\u00e8le qui apprend directement \u00e0 partir d&rsquo;observations d&rsquo;images sur des robots r\u00e9els \u00e0 l&rsquo;aide d&rsquo;un mod\u00e8le du monde ; aucun passage de la simulation \u00e0 la r\u00e9alit\u00e9 n&rsquo;est n\u00e9cessaire<\/p>\n","protected":false},"author":18,"featured_media":12381,"template":"","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":""},"product_brand":[],"product_cat":[2344,2576],"product_tag":[],"class_list":["post-12380","product","type-product","status-publish","has-post-thumbnail","product_cat-brains","product_cat-cerveaux","first","onbackorder","taxable","shipping-taxable","purchasable","product-type-simple","entry","content-bg","loop-entry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - 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