Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. - Xingyu Lin; Carl Qi; Yunchu Zhang; Zhiao Huang; Katerina Fragkiadaki; Yunzhu Li; Chuang Gan 001; David Held (CoRL, 2022)

Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning. - Carl Qi; Pieter Abbeel; Aditya Grover (CoRR, 2022)

Learning Closed-Loop Dough Manipulation Using a Differentiable Reset Module. - Carl Qi; Xingyu Lin; David Held (IEEE Robotics Autom. Lett., 2022)

Learning Generalizable Tool-use Skills through Trajectory Generation. - Carl Qi; Sarthak J. Shetty; Xingyu Lin; David Held (CoRR, 2023)

Learning Generalizable Tool-use Skills through Trajectory Generation. - Carl Qi; Yilin Wu 003; Lifan Yu; Haoyue Liu; Bowen Jiang; Xingyu Lin; David Held (IROS, 2024)

Towards Improving Learning from Demonstration Algorithms via MCMC Methods. - Carl Qi; Edward Sun; Harry Zhang (CoRR, 2024)

Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning. - Caleb Chuck; Carl Qi; Michael J. Munje; Shuozhe Li; Max Rudolph; Chang Shi; Siddhant Agarwal; Harshit Sikchi; Abhinav Peri; Sarthak Dayal; Evan Kuo; Kavan Mehta; et al. (CoRR, 2024)

Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning. - Caleb Chuck; Fan Feng; Carl Qi; Chang Shi; Siddhant Agarwal; Amy Zhang 001; Scott Niekum (ICLR, 2025)

EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation. - Carl Qi; Dan Haramati; Tal Daniel; Aviv Tamar; Amy Zhang 001 (ICLR, 2025)