{"author_name":"Paper Radio","author_url":"https://m.montaan.com/","height":720,"html":"<iframe src=\"https://m.montaan.com/embed/video/d48ad709-5e67-4657-b8d4-7b9f5c4f86ab\" width=\"1280\" height=\"720\" title=\"STEAM: Self-Supervised Temporal Ensemble Advantage Modeling for Real-World Robot Learning — Paper Radio\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture\" allowfullscreen loading=\"lazy\" style=\"border:0;display:block;max-width:100%;\"></iframe>","provider_name":"Paper Radio","provider_url":"https://m.montaan.com/","thumbnail_url":"https://m.montaan.com/media/episodes/d48ad709-5e67-4657-b8d4-7b9f5c4f86ab/episode.poster.webp","title":"STEAM: Self-Supervised Temporal Ensemble Advantage Modeling for Real-World Robot Learning","type":"video","version":"1.0","width":1280}