22 citations · 47 across the 6 of their papers we have counts for
6 papers
Learning Visuotactile Skills with Two Multifingered Hands
Toru Lin, Yu Zhang, Qiyang Li +4
Aiming to replicate human-like dexterity, perceptual experiences, and motion patterns, we explore learning from human demonstrations using a bimanual system with multifingered hand…
Twisting Lids Off with Two Hands
Toru Lin, Zhao-Heng Yin, Haozhi Qi +2
Manipulating objects with two multi-fingered hands has been a long-standing challenge in robotics, due to the contact-rich nature of many manipulation tasks and the complexity inhe…
MIMEx: Intrinsic Rewards from Masked Input Modeling
Toru Lin, Allan Jabri
Exploring in environments with high-dimensional observations is hard. One promising approach for exploration is to use intrinsic rewards, which often boils down to estimating "nove…
Learning to Ground Multi-Agent Communication with Autoencoders
Toru Lin, Minyoung Huh, Chris Stauffer +2
Communication requires having a common language, a lingua franca, between agents. This language could emerge via a consensus process, but it may require many generations of trial a…
Visual Grounding of Learned Physical Models
Yunzhu Li, Toru Lin, Kexin Yi +5
Humans intuitively recognize objects' physical properties and predict their motion, even when the objects are engaged in complicated interactions. The abilities to perform physical…
Model Based Planning with Energy Based Models
Yilun Du, Toru Lin, Igor Mordatch
Model-based planning holds great promise for improving both sample efficiency and generalization in reinforcement learning (RL). We show that energy-based models (EBMs) are a promi…