Carl Qi

According to our database, Carl Qi authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Generalizable Dense Reward for Long-Horizon Robotic Tasks.

Silong Yong, Stephen Sheng, Carl Qi, Xiaojie Wang, Evan Sheehan, Anurag Shivaprasad, Yaqi Xie, Katia Sycara, Yesh Dattatreya

CoRR, April, 2026

Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling.

Tal Daniel, Carl Qi, Dan Haramati, Amir Zadeh, Chuan Li, Aviv Tamar, Deepak Pathak, David Held

CoRR, March, 2026

Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning.

Carl Qi, Xiaojie Wang, Silong Yong, Stephen Sheng, Huitan Mao, Sriram Srinivasan, Manikantan Nambi, Amy Zhang, Yesh Dattatreya

CoRR, February, 2026

Hierarchical Entity-centric Reinforcement Learning with Factored Subgoal Diffusion.

Dan Haramati, Carl Qi, Tal Daniel, Amy Zhang, Aviv Tamar, George Konidaris

CoRR, February, 2026

2025

EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation.

Carl Qi, Dan Haramati, Tal Daniel, Aviv Tamar, Amy Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning.

Caleb Chuck, Fan Feng, Carl Qi, Chang Shi, Siddhant Agarwal, Amy Zhang, Scott Niekum

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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, Anthony Wang, Peter Stone, Amy Zhang, Scott Niekum

CoRR, 2024

Towards Improving Learning from Demonstration Algorithms via MCMC Methods.

Carl Qi, Edward Sun, Harry Zhang

CoRR, 2024

Learning Generalizable Tool-use Skills through Trajectory Generation.

Carl Qi, Yilin Wu, Lifan Yu, Haoyue Liu, Bowen Jiang, Xingyu Lin, David Held

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Learning Generalizable Tool-use Skills through Trajectory Generation.

Carl Qi, Sarthak J. Shetty, Xingyu Lin, David Held

CoRR, 2023

2022

Learning Closed-Loop Dough Manipulation Using a Differentiable Reset Module.

Carl Qi, Xingyu Lin, David Held

IEEE Robotics Autom. Lett., 2022

Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning.

Carl Qi, Pieter Abbeel, Aditya Grover

CoRR, 2022

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, David Held

Proceedings of the Conference on Robot Learning, 2022