Conference Papers
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Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, and Shiqi Zhang
“Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning.”
To Appear in the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), 2023. -
Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone.
“Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks.”
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), 2021.
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Rishi Shah, Yuqian Jiang, Justin Hart, and Peter Stone.
“Deep R-Learning for Continual Area Sweeping.” In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020), 2020.
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Yuqian Jiang, Fangkai Yang, Shiqi Zhang, Peter Stone.
“Task-Motion Planning with Reinforcement Learning for Adaptable Mobile Service Robots.”
In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
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Yuqian Jiang, Nick Walker, Justin Hart, and Peter Stone.
“Open-World Reasoning for Service Robots.”
In Proceedings of International Conference in Automated Planning and Scheduling (ICAPS), 2019.
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Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone, and Raymond J. Mooney.
“Improving Grounded Natural Language Understanding through Human-Robot Dialog.”
In Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 2019.
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Shiqi Zhang, Yuqian Jiang, Guni Sharon, and Peter Stone.
“Multirobot Symbolic Planning under Temporal Uncertainty.”
In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Sytems (AAMAS), 2017.
Paper Demo Video
Journal Articles
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Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Nick Walker, Yuqian Jiang, Harel Yedidsion, Justin Hart, Peter Stone and Raymond J. Mooney.
“Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog.”
The Journal of Artificial Intelligence Research (JAIR), 2020.
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Yuqian Jiang, Harel Yedidsion, Shiqi Zhang, Guni Sharon, and Peter Stone.
“Multi-Robot Planning with Conflicts and Synergies.”
Autonomous Robots, 2019.
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Yuqian Jiang, Shiqi Zhang, Piyush Khandelwal, and Peter Stone.
“Task Planning in Robotics: an Empirical Comparison of PDDL-based and ASP-based Systems.”
Frontiers of Information Technology and Electronic Engineering, Special Issue on Intelligent Robots, 2019.
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Workshop/Symposium Papers/Pre-prints
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Bo Liu, Yuqian Jiang, Xiaohan Zhang, Qiang Liu, Shiqi Zhang, Joydeep Biswas, Peter Stone.
“LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.”
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Yuqian Jiang, Qiaozi Gao, Govind Thattai, and Gaurav Sukhatme.
“Language-Informed Transfer Learning for Embodied Household Activities.”
In AAAI Workshop on User-Centric Artificial Intelligence for Assistance in At-Home Tasks. February 2023.
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Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yulin Zhan, Yuqian Jiang, Bo Liu, and Peter Stone.
“Model-Based Meta Automatic Curriculum Learning.”
In Decision Awareness in Reinforcement Learning (DARL) workshop of the 39th International Conference on Machine Learning (ICML). July 2022.
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Reuth Mirsky, Shahaf S. Shperberg, Yulin Zhang, Zifan Xu, Yuqian Jiang, Jiaxun Cui, and Peter Stone.
“Task Factorization in Curriculum Learning.”
In Decision Awareness in Reinforcement Learning (DARL) workshop of the 39th International Conference on Machine Learning (ICML). July 2022.
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Rishi Shah, Yuqian Jiang, Haresh Karnan, Gilberto Briscoe-Martinez, Dominick Mulder, Ryan Gupta, Rachel Schlossman, Marika Murphy, Justin Hart, Luis Sentis, and Peter Stone.
“Solving Service Robot Tasks: UT Austin Villa@Home 2019 Team Report.”
In AAAI Fall Symposium on Artificial Intelligence and Human-Robot Interaction for Service Robots in Human Environments (AI-HRI 2019), 2019.
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Nick Walker, Yuqian Jiang, Maya Cakmak and Peter Stone.
“Desiderata for Planning Systems in General-Purpose Service Robots.”
In Proceedings of 2019 ICAPS Workshop on Planning and Robotics, 2019.
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Yuqian Jiang, Nick Walker, Minkyu Kim, Nicolas Brissonneau, Daniel S Brown, Justin W Hart, Scott Niekum, Luis Sentis, and Peter Stone.
“LAAIR: A Layered Architecture for Autonomous Interactive Robots.”
In Proceedings of the AAAI Fall Symposium on Reasoning and Learning in Real-World Systems for Long-Term Autonomy (LTA), 2018.
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Justin Hart, Harel Yedidsion, Yuqian Jiang, Nick Walker, Rishi Shah, Jesse Thomason, Aishwarya Padmakumar, Rolando Fernandez, Jivko Sinapov, Raymond Mooney, and Peter Stone.
“Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence.”
In AAAI Fall Symposium on Artificial Intelligence and Human-Robot Interaction (AI-HRI), 2018.
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