| Evidence for a higher-order topological insulator in a three-dimensional material built from van der Waals stacking of bismuth-halide chains R Noguchi, M Kobayashi, Z Jiang, K Kuroda, T Takahashi, Z Xu, D Lee, ... Nature Materials 20 (4), 473-479, 2021 | 118 | 2021 |
| Applr: Adaptive planner parameter learning from reinforcement Z Xu, G Dhamankar, A Nair, X Xiao, G Warnell, B Liu, Z Wang, P Stone 2021 IEEE international conference on robotics and automation (ICRA), 6086-6092, 2021 | 46 | 2021 |
| Appl: Adaptive planner parameter learning X Xiao, Z Wang, Z Xu, B Liu, G Warnell, G Dhamankar, A Nair, P Stone Robotics and Autonomous Systems 154, 104132, 2022 | 43 | 2022 |
| Nanoscale Conductivity Imaging of Correlated Electronic States in Moiré Superlattices Z Chu, EC Regan, X Ma, D Wang, Z Xu, MIB Utama, K Yumigeta, M Blei, ... Physical review letters 125 (18), 186803, 2020 | 43 | 2020 |
| Lithium-ion electrolytic substrates for sub-1V high-performance transition metal dichalcogenide transistors and amplifiers MH Alam, Z Xu, S Chowdhury, Z Jiang, D Taneja, SK Banerjee, K Lai, ... Nature communications 11 (1), 3203, 2020 | 37 | 2020 |
| Causal dynamics learning for task-independent state abstraction Z Wang, X Xiao, Z Xu, Y Zhu, P Stone arXiv preprint arXiv:2206.13452, 2022 | 28 | 2022 |
| Autonomous ground navigation in highly constrained spaces: Lessons learned from the benchmark autonomous robot navigation challenge at icra 2022 [competitions] X Xiao, Z Xu, Z Wang, Y Song, G Warnell, P Stone, T Zhang, S Ravi, ... IEEE Robotics & Automation Magazine 29 (4), 148-156, 2022 | 22* | 2022 |
| Machine learning methods for local motion planning: A study of end-to-end vs. parameter learning Z Xu, X Xiao, G Warnell, A Nair, P Stone 2021 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2021 | 19 | 2021 |
| Benchmarking reinforcement learning techniques for autonomous navigation Z Xu, B Liu, X Xiao, A Nair, P Stone 2023 IEEE International Conference on Robotics and Automation (ICRA), 9224-9230, 2023 | 16 | 2023 |
| A domain-agnostic approach for characterization of lifelong learning systems MM Baker, A New, M Aguilar-Simon, Z Al-Halah, SMR Arnold, ... Neural Networks 160, 274-296, 2023 | 14 | 2023 |
| Dynabarn: Benchmarking metric ground navigation in dynamic environments A Nair, F Jiang, K Hou, Z Xu, S Li, X Xiao, P Stone 2022 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2022 | 12 | 2022 |
| Autonomous ground navigation in highly constrained spaces: Lessons learned from the 2nd barn challenge at icra 2023 X Xiao, Z Xu, G Warnell, P Stone, FG Guinjoan, RT Rodrigues, ... arXiv preprint arXiv:2308.03205, 2023 | 3 | 2023 |
| Learning real-world autonomous navigation by self-supervised environment synthesis Z Xu, A Nair, X Xiao, P Stone arXiv preprint arXiv:2210.04852, 2022 | 3 | 2022 |
| Task factorization in curriculum learning R Mirsky, SS Shperberg, Y Zhang, Z Xu, Y Jiang, J Cui, P Stone Decision Awareness in Reinforcement Learning Workshop at ICML 2022, 2022 | 2 | 2022 |
| A scavenger hunt for service robots H Yedidsion, J Suriadinata, Z Xu, S Debruyn, P Stone 2021 IEEE International Conference on Robotics and Automation (ICRA), 7774-7780, 2021 | 2 | 2021 |
| Solid Electrolytic Substrates for High Performance Transistors and Circuits MH Alam, Z Xu, S Chowdhury, Z Jiang, D Taneja, SK Banerjee, K Lai, ... 78th Device Research Conference, 2020 | 2 | 2020 |
| Model-Based Meta Automatic Curriculum Learning Z Xu, Y Zhang, SS Shperberg, R Mirsky, Y Jiang, B Liu, P Stone Conference on Lifelong Learning Agents, 846-860, 2023 | 1 | 2023 |
| Automated detection of foreground speech with wearable sensing in everyday home environments: A transfer learning approach D Liang, Z Xu, Y Chen, R Adaimi, D Harwath, E Thomaz arXiv preprint arXiv:2203.11294, 2022 | 1 | 2022 |
| Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning Z Xu, AH Raj, X Xiao, P Stone arXiv preprint arXiv:2403.03848, 2024 | | 2024 |
| Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks Z Xu, Z Xu, R Jiang, P Stone, A Tewari arXiv preprint arXiv:2403.01636, 2024 | | 2024 |
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
