activity
20242026
most citedHybrid Inverse Reinforcement Learning

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

NEEDLEWORK: Offline Rewriting of Robot Data with Verified Local Stitches

Juntao Ren, Yifan Hou, Shuran Song

Robot demonstrations may contain useful behavior even when individual episodes are inefficient or unsuccessful. Trajectory stitching offers a way to compose these behaviors into im…

cs.LG2025

A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search

Arnav Kumar Jain, Vibhakar Mohta, Subin Kim +5

The fundamental limitation of the behavioral cloning (BC) approach to imitation learning is that it only teaches an agent what the expert did at states the expert visited. This mea…

cs.RO2025★ 1 cited

Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning

Juntao Ren, Priya Sundaresan, Dorsa Sadigh +2

Teaching robots to autonomously complete everyday tasks remains a challenge. Imitation Learning (IL) is a powerful approach that imbues robots with skills via demonstrations, but i…

cs.RO2024

MOSAIC: Modular Foundation Models for Assistive and Interactive Cooking

Huaxiaoyue Wang, Kushal Kedia, Juntao Ren +14

We present MOSAIC, a modular architecture for coordinating multiple robots to (a) interact with users using natural language and (b) manipulate an open vocabulary of everyday objec…

cs.LG2024★ 2 cited

Hybrid Inverse Reinforcement Learning

Juntao Ren, Gokul Swamy, Zhiwei Steven Wu +2

The inverse reinforcement learning approach to imitation learning is a double-edged sword. On the one hand, it can enable learning from a smaller number of expert demonstrations wi…