Yuqian Jiang
Ph.D. Student
Publications
     [Expand to show all 12][Minimize]
Model-Based Meta Automatic Curriculum Learning 2023
Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, and Peter Stone, In The Second Conference on Lifelong Learning Agents (CoLLAs 2023), Montreal, Canada, August 2023.
Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning 2023
Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, and Shiqi Zhang, In International Conference on Intelligent Robots and Systems, Detroit, USA, October 2023.
Model-Based Meta Automatic Curriculum Learning 2022
Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yulin Zhan, Yuqian Jiang, Bo Liu, and Peter Stone, In Decision Awareness in Reinforcement Learning (DARL) workshop t the +39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 2022.
Task Factorization in Curriculum Learning 2022
Reuth Mirsky, Shahaf S. Shperberg, Yulin Zhang, Zifan Xu, Yuqian Jiang, Jiaxun Cui, and Peter Stone, In Decision Awareness in Reinforcement Learning (DARL) workshop t the 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 2022.
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks 2021
Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, and Peter Stone, In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), Virtual Conference, February 2021.
Deep R-Learning for Continual Area Sweeping 2020
Rishi Shah, Yuqian Jiang, Justin Hart, and Peter Stone, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020) (2020).
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog 2020
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, Raymond J. Mooney, The Journal of Artificial Intelligence Research (JAIR), Vol. 67 (2020), pp. 327-374.
Improving Grounded Natural Language Understanding through Human-Robot Dialog 2019
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond J. Mooney, In IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, May 2019.
Open-World Reasoning for Service Robots 2019
Yuqian Jiang, Nick Walker, Justin Hart, Peter Stone, In Proceedings of the 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), Berkeley, CA, USA, July 2019.
Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence 2018
Justin Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond Mooney, Peter Stone, In Artificial Intelligence (AI) for Human-Robot Interaction (HRI) symposium, AAAI Fall Symposium Series, Arlington, Virginia, October 2018.
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog 2018
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond J. Mooney, In RSS Workshop on Models and Representations for Natural Human-Robot Communication (MRHRC-18). Robotics: Science and Systems (RSS), June 2018.
Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog 2018
Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond J. Mooney, In Late-breaking Track at the SIGDIAL Special Session on Physically Situated Dialogue (RoboDIAL-18), Melbourne, Australia, July 2018.
Areas of Interest
Robotics
Labs
Currently affiliated with Learning Agents