APPLR: Adaptive Planner Parameter Learning from Reinforcement. - Zifan Xu; Gauraang Dhamankar; Anirudh Nair; Xuesu Xiao; Garrett Warnell; Bo Liu 042; Zizhao Wang; Peter Stone 001 (ICRA, 2021)

A Scavenger Hunt for Service Robots. - Harel Yedidsion; Jennifer Suriadinata; Zifan Xu; Stefan Debruyn; Peter Stone 001 (ICRA, 2021)

Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning. - Zifan Xu; Xuesu Xiao; Garrett Warnell; Anirudh Nair; Peter Stone 001 (SSRR, 2021)

Causal Dynamics Learning for Task-Independent State Abstraction. - Zizhao Wang; Xuesu Xiao; Zifan Xu; Yuke Zhu; Peter Stone 001 (ICML, 2022)

DynaBARN: Benchmarking Metric Ground Navigation in Dynamic Environments. - Anirudh Nair; Fulin Jiang; Kang Hou; Zifan Xu; Shuozhe Li; Xuesu Xiao; Peter Stone 001 (SSRR, 2022)

Automated detection of foreground speech with wearable sensing in everyday home environments: A transfer learning approach. - Dawei Liang; Zifan Xu; Yinuo Chen; Rebecca Adaimi; David Harwath; Edison Thomaz (CoRR, 2022)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. - Xuesu Xiao; Zifan Xu; Zizhao Wang; Yunlong Song; Garrett Warnell; Peter Stone 001; Tingnan Zhang; Shravan Ravi; Gary Wang; Haresh Karnan; Joydeep Biswas; Nicholas Mohammad; et al. (CoRR, 2022)

Learning Real-world Autonomous Navigation by Self-Supervised Environment Synthesis. - Zifan Xu; Anirudh Nair; Xuesu Xiao; Peter Stone 001 (CoRR, 2022)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. - Xuesu Xiao; Zifan Xu; Zizhao Wang; Yunlong Song; Garrett Warnell; Peter Stone 001; Tingnan Zhang; Shravan Ravi; Gary Wang; Haresh Karnan; Joydeep Biswas; Nicholas Mohammad; et al. (IEEE Robotics Autom. Mag., 2022)

APPL: Adaptive Planner Parameter Learning. - Xuesu Xiao; Zizhao Wang; Zifan Xu; Bo Liu 042; Garrett Warnell; Gauraang Dhamankar; Anirudh Nair; Peter Stone 001 (Robotics Auton. Syst., 2022)

Model-Based Meta Automatic Curriculum Learning. - Zifan Xu; Yulin Zhang; Shahaf S. Shperberg; Reuth Mirsky; Yuqian Jiang; Bo Liu 042; Peter Stone 001 (CoLLAs, 2023)

A Dataset for Foreground Speech Analysis With Smartwatches In Everyday Home Environments. - Dawei Liang; Zifan Xu; Yinuo Chen; Rebecca Adaimi; David Harwath; Edison Thomaz (ICASSP Workshops, 2023)

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation. - Zifan Xu; Bo Liu 042; Xuesu Xiao; Anirudh Nair; Peter Stone 001 (ICRA, 2023)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 2nd BARN Challenge at ICRA 2023. - Xuesu Xiao; Zifan Xu; Garrett Warnell; Peter Stone 001; Ferran Gebelli Guinjoan; Rômulo T. Rodrigues; Herman Bruyninckx; Hanjaya Mandala; Guilherme Christmann; José Luis Blanco-Claraco; Shravan Somashekara Rai (CoRR, 2023)

Latent Skill Discovery for Chain-of-Thought Reasoning. - Zifan Xu; Haozhu Wang; Dmitriy Bespalov; Peter Stone 001; Yanjun Qi (CoRR, 2023)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan M. Baker; Alexander New; Mario Aguilar-Simon; Ziad Al-Halah; Sébastien M. R. Arnold; Eseoghene Ben-Iwhiwhu; Andrew P. Brna; Ethan Brooks; Ryan C. Brown; Zachary Daniels; Anurag Reddy Daram; Fabien Delattre; et al. (Neural Networks, 2023)

An Enhanced EEG Microstate Recognition Framework Based on Deep Neural Networks: An Application to Parkinson's Disease. - Chunguang Chu; Zhen Zhang 004; Zhenxi Song; Zifan Xu; Jiang Wang 002; Fei Wang 142; Wei Liu; Liying Lu; Chen Liu 003; Xiaodong Zhu; Chris Fietkiewicz; Kenneth A. Loparo (IEEE J. Biomed. Health Informatics, 2023)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions]. - Xuesu Xiao; Zifan Xu; Garrett Warnell; Peter Stone 001; Ferran Gebelli Guinjoan; Rômulo T. Rodrigues; Herman Bruyninckx; Hanjaya Mandala; Guilherme Christmann; José Luis Blanco-Claraco; Shravan Somashekara Rai (IEEE Robotics Autom. Mag., 2023)

LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning. - Zifan Xu; Haozhu Wang; Dmitriy Bespalov; Xian Wu 008; Peter Stone 001; Yanjun Qi (EMNLP (Findings), 2024)

Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. - Ziping Xu; Zifan Xu; Runxuan Jiang; Peter Stone 001; Ambuj Tewari (ICLR, 2024)

Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning. - Zifan Xu; Amir Hossain Raj; Xuesu Xiao; Peter Stone 001 (ICRA, 2024)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024. - Xuesu Xiao; Zifan Xu; Aniket Datar; Garrett Warnell; Peter Stone 001; Joshua Julian Damanik; Jaewon Jung; Chala Adane Deresa; Than Duc Huy; Chen Jinyu; Chen Yichen; Joshua Adrian Cahyono; et al. (CoRR, 2024)

Grounded Curriculum Learning. - Linji Wang; Zifan Xu; Peter Stone 001; Xuesu Xiao (CoRR, 2024)

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Third BARN Challenge at ICRA 2024 [Competitions]. - Xuesu Xiao; Zifan Xu; Aniket Datar; Garrett Warnell; Peter Stone 001; Joshua Julian Damanik; Jaewon Jung; Chala Adane Deresa; Than Duc Huy; Chen Jinyu; Chen Yichen; Joshua Adrian Cahyono; et al. (IEEE Robotics Autom. Mag., 2024)

The Essentials of AI for Life and Society: An AI Literacy Course for the University Community. - Joydeep Biswas; Don Fussell; Peter Stone 001; Kristin Patterson; Kristen Procko; Lea Sabatini; Zifan Xu (AAAI, 2025)

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks. - Viraj Joshi; Zifan Xu; Bo Liu 042; Peter Stone 001; Amy Zhang 001 (CoRR, 2025)

GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring. - Linji Wang; Zifan Xu; Peter Stone 001; Xuesu Xiao (CoRR, 2025)