87 citations · 196 across the 11 of their papers we have counts for
3 papers · 1 filter
Primitive Skill-based Robot Learning from Human Evaluative Feedback
Ayano Hiranaka, Minjune Hwang, Sharon Lee +4
Reinforcement learning (RL) algorithms face significant challenges when dealing with long-horizon robot manipulation tasks in real-world environments due to sample inefficiency and…
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
Wenlong Huang, Chen Wang, Ruohan Zhang +3
Large language models (LLMs) are shown to possess a wealth of actionable knowledge that can be extracted for robot manipulation in the form of reasoning and planning. Despite the p…
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
Chen Wang, Linxi Fan, Jiankai Sun +5
Imitation learning from human demonstrations is a promising paradigm for teaching robots manipulation skills in the real world. However, learning complex long-horizon tasks often r…