| Crowd-aware robot navigation for pedestrians with multiple collision avoidance strategies via map-based deep reinforcement learning S Yao, G Chen, Q Qiu, J Ma, X Chen, J Ji 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 37 | 2021 |
| Distributed non-communicating multi-robot collision avoidance via map-based deep reinforcement learning G Chen, S Yao, J Ma, L Pan, Y Chen, P Xu, J Ji, X Chen Sensors 20 (17), 4836, 2020 | 37 | 2020 |
| Learning to socially navigate in pedestrian-rich environments with interaction capacity Q Qiu, S Yao, J Wang, J Ma, G Chen, J Ji 2022 International Conference on Robotics and Automation (ICRA), 279-285, 2022 | 16 | 2022 |
| Multi-robot collision avoidance with map-based deep reinforcement learning S Yao, G Chen, L Pan, J Ma, J Ji, X Chen 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 11 | 2020 |
| Distributed reinforcement learning with self-play in parameterized action space J Ma, S Yao, G Chen, J Song, J Ji 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 4 | 2021 |
| Training a non-cooperator to identify vulnerabilities and improve robustness for robot navigation Q Qiu, X Zhang, S Yao, G Chen, B Hua, J Ji IEEE Robotics and Automation Letters 8 (8), 4465-4472, 2023 | 1 | 2023 |
| Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments Y Chen, Q Qiu, X Liu, G Chen, S Yao, J Peng, J Ji, Y Zhang arXiv preprint arXiv:2303.12354, 2023 | | 2023 |
| Interactive Robot Navigation in Crowded Pedestrian Environments Based on Deep Reinforcement Learning S Chen, Q Qiu, J Ma, S Yao, G Chen, J Ji 2022 3rd International Conference on Electronics, Communications and …, 2022 | | 2022 |
| Asymmetric Self-Play for Learning Robust Human-Robot Interaction on Crowd Navigation Tasks J Ma, Q Qiu, S Chen, S Yao, Y Chen, J Ji 2022 3rd International Conference on Electronics, Communications and …, 2022 | | 2022 |
Jianmin JiUniversity of Science and Technology of ChinaΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ustc.edu.cn
