Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models
机构 * New York University(纽约大学) ; Genentech(基因泰克) ; Brown University(布朗大学) ; University of Toronto(多伦多大学) ; Meta – FAIR
Comments Project web page: https://latent-planning.github.io/