| VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models W Huang, C Wang, R Zhang, Y Li, J Wu, L Fei-Fei CoRL, 2023 | 149 | 2023 |
| Leveraging human guidance for deep reinforcement learning tasks R Zhang, F Torabi, L Guan, DH Ballard, P Stone IJCAI, 2019 | 97 | 2019 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 92* | 2023 |
| BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation C Li, R Zhang, J Wong, C Gokmen, S Srivastava, R Martín-Martín, C Wang, ... CoRL, 2022 | 87* | 2022 |
| Agil: Learning attention from human for visuomotor tasks R Zhang, Z Liu, L Zhang, JA Whritner, KS Muller, MM Hayhoe, DH Ballard ECCV, 2018 | 71 | 2018 |
| Atari-head: Atari human eye-tracking and demonstration dataset R Zhang, C Walshe, Z Liu, L Guan, K Muller, J Whritner, L Zhang, ... AAAI, 2020 | 66 | 2020 |
| Human gaze assisted artificial intelligence: a review R Zhang, A Saran, B Liu, Y Zhu, S Guo, S Niekum, D Ballard, M Hayhoe IJCAI, 2020 | 61 | 2020 |
| Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation L Guan, M Verma, S Guo, R Zhang, S Kambhampati NeurIPS, 2021 | 48* | 2021 |
| Mimicplay: Long-horizon imitation learning by watching human play C Wang, L Fan, J Sun, R Zhang, L Fei-Fei, D Xu, Y Zhu, A Anandkumar CoRL, 2023 | 44 | 2023 |
| Fast and precise black and white ball detection for robocup soccer J Menashe, J Kelle, K Genter, J Hanna, E Liebman, S Narvekar, R Zhang, ... Robot World Cup, 2017 | 34 | 2017 |
| Model checking for safe navigation among humans S Junges, N Jansen, JP Katoen, U Topcu, R Zhang, M Hayhoe Quantitative Evaluation of Systems: 15th International Conference, QEST 2018 …, 2018 | 28* | 2018 |
| Recent advances in leveraging human guidance for sequential decision-making tasks R Zhang, F Torabi, G Warnell, P Stone Autonomous Agents and Multi-Agent Systems 35 (2), 31, 2021 | 26 | 2021 |
| Machine versus Human Attention in Deep Reinforcement Learning Tasks S Guo, R Zhang, B Liu, Y Zhu, M Hayhoe, D Ballard, P Stone NeurIPS, 2021 | 24* | 2021 |
| An initial attempt of combining visual selective attention with deep reinforcement learning L Yuezhang, R Zhang, DH Ballard arXiv preprint arXiv:1811.04407, 2018 | 23 | 2018 |
| Efficiently guiding imitation learning algorithms with human gaze A Saran, R Zhang, ES Short, S Niekum AAMAS, 2020 | 22* | 2020 |
| The hierarchical evolution in human vision modeling DH Ballard, R Zhang Topics in cognitive science 13 (2), 309-328, 2021 | 15 | 2021 |
| Interaction Modeling with Multiplex Attention FY Sun, I Kauvar, R Zhang, J Li, M Kochenderfer, J Wu, N Haber NeurIPS, 2022 | 14 | 2022 |
| Modeling sensory-motor decisions in natural behavior R Zhang, S Zhang, MH Tong, Y Cui, CA Rothkopf, DH Ballard, ... PLoS Computational Biology 14 (10), e1006518, 2018 | 13 | 2018 |
| Decision-Making Policies for Heterogeneous Autonomous Multi-Agent Systems with Safety Constraints. R Zhang, Y Yu, M El Chamie, B Açikmese, DH Ballard IJCAI, 2016 | 13 | 2016 |
| Dual decomposed learning with factorwise oracle for structural svm of large output domain IEH Yen, X Huang, K Zhong, R Zhang, PK Ravikumar, IS Dhillon NeurIPS, 2016 | 10 | 2016 |
Dana BallardProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
