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Guangliang Li
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2020 – today
- 2024
- [j13]Wei Meng, Hao Ju, Tongxu Ai, Randy Gomez, Eric Nichols, Guangliang Li:
Transferring Meta-Policy From Simulation to Reality via Progressive Neural Network. IEEE Robotics Autom. Lett. 9(4): 3696-3703 (2024) - [c23]Fei Tang, Chuanxiong Zheng, Hongqi Yu, Lei Zhang, Eric Nichols, Randy Gomez, Guangliang Li:
Assisting Group Discussions Using Desktop Robot Haru. ICRA 2024: 3326-3332 - [c22]Chuanxiong Zheng, Lei Zhang, Hui Wang, Randy Gomez, Eric Nichols, Guangliang Li:
Shaping Social Robot to Play Games with Human Demonstrations and Evaluative Feedback. ICRA 2024: 9517-9523 - [i6]Zheng Fang, Tianhao Chen, Dong Jiang, Zheng Zhang, Guangliang Li:
Multi-Agent Generative Adversarial Interactive Self-Imitation Learning for AUV Formation Control and Obstacle Avoidance. CoRR abs/2401.11378 (2024) - 2023
- [j12]Xukai Mu, Wei Gao, Xiaolei Li, Guangliang Li:
Coverage Path Planning for UAV Based on Improved Back-and-Forth Mode. IEEE Access 11: 114840-114854 (2023) - [c21]Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li:
GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback. ICRA 2023: 4991-4998 - [c20]Rongshun Juan, Hao Ju, Jie Huang, Randy Gomez, Keisuke Nakamura, Guangliang Li:
Sim-to-Real Policy and Reward Transfer with Adaptive Forward Dynamics Model. ICRA 2023: 7212-7218 - [c19]Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakarnura, Guangliang Li:
Model-based Adversarial Imitation Learning from Demonstrations and Human Reward. IROS 2023: 1683-1690 - [c18]Lei Zhang, Chuanxiong Zheng, Hui Wang, Eric Nichols, Randy Gomez, Guangliang Li:
Emotional Understanding and Behavior Learning for Haru via Social Reinforcement Learning. ICSR (2) 2023: 59-70 - 2022
- [j11]Dianrui Wang, Bo He, Yue Shen, Guangliang Li, Guanzhong Chen:
A Modified ALOS Method of Path Tracking for AUVs with Reinforcement Learning Accelerated by Dynamic Data-Driven AUV Model. J. Intell. Robotic Syst. 104(3): 49 (2022) - [j10]Hao Ju, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li:
Transferring policy of deep reinforcement learning from simulation to reality for robotics. Nat. Mac. Intell. 4(12): 1077-1087 (2022) - [c17]Hui Wang, Jinying Lin, Zhen Ma, Yurii Vasylkiv, Heike Brock, Keisuke Nakamura, Randy Gomez, Bo He, Guangliang Li:
Affective Behavior Learning for Social Robot Haru with Implicit Evaluative Feedback. IROS 2022: 3881-3888 - [c16]Hui Wang, Guodong Chen, Randy Gomez, Keisuke Nakamura, Bo He, Guangliang Li:
Shaping Haru's Affective Behavior with Valence and Arousal Based Implicit Facial Feedback. RO-MAN 2022: 769-776 - [c15]Chuanxiong Zheng, Hui Wang, Lei Zhang, Jiangshan Hao, Randy Gomez, Keisuke Nakamura, Guangliang Li:
Imitating Human Strategy for Social Robot in Real-Time Two-Player Games. ICSR (2) 2022: 427-438 - [c14]Hui Wang, Lei Zhang, Chuanxiong Zheng, Randy Gomez, Keisuke Nakamura, Guangliang Li:
Personalized Storytelling with Social Robot Haru. ICSR (2) 2022: 439-451 - 2021
- [j9]Rixia Qin, Xiaohong Zhao, Wenbo Zhu, Qianqian Yang, Bo He, Guangliang Li, Tianhong Yan:
Multiple Receptive Field Network (MRF-Net) for Autonomous Underwater Vehicle Fishing Net Detection Using Forward-Looking Sonar Images. Sensors 21(6): 1933 (2021) - [c13]Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung:
Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework. AAMAS 2021: 1735-1737 - [c12]Yurii Vasylkiv, Zhen Ma, Guangliang Li, Eleanor Sandry, Heike Brock, Keisuke Nakamura, Pourang Irani, Randy Gomez:
Automating Behavior Selection for Affective Telepresence Robot. ICRA 2021: 2026-2032 - [c11]Rongshun Juan, Jie Huang, Randy Gomez, Keisuke Nakamura, Qixin Sha, Bo He, Guangliang Li:
Shaping Progressive Net of Reinforcement Learning for Policy Transfer with Human Evaluative Feedback. IROS 2021: 1281-1288 - [c10]Yurii Vasylkiv, Zhen Ma, Guangliang Li, Heike Brock, Keisuke Nakamura, Pourang Irani, Randy Gomez:
Shaping Affective Robot Haru's Reactive Response. RO-MAN 2021: 989-996 - [i5]Jie Huang, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Qixin Sha, Bo He, Guangliang Li:
GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback. CoRR abs/2104.06600 (2021) - 2020
- [j8]Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung:
Facial feedback for reinforcement learning: a case study and offline analysis using the TAMER framework. Auton. Agents Multi Agent Syst. 34(1): 22 (2020) - [j7]Qilei Zhang, Jinying Lin, Qixin Sha, Bo He, Guangliang Li:
Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle. IEEE Access 8: 24258-24268 (2020) - [j6]Xin Zhang, Bo He, Guangliang Li, Xiaokai Mu, Ying Zhou, Tanji Mang:
Navnet: AUV Navigation Through Deep Sequential Learning. IEEE Access 8: 59845-59861 (2020) - [j5]Jinying Lin, Zhen Ma, Randy Gomez, Keisuke Nakamura, Bo He, Guangliang Li:
A Review on Interactive Reinforcement Learning From Human Social Feedback. IEEE Access 8: 120757-120765 (2020) - [c9]Chao Yu, Tianpei Yang, Wenxuan Zhu, Yinzhao Dong, Guangliang Li:
Interactive RL via Online Human Demonstrations. AAMAS 2020: 2065-2067 - [c8]Jinying Lin, Qilei Zhang, Randy Gomez, Keisuke Nakamura, Bo He, Guangliang Li:
Human Social Feedback for Efficient Interactive Reinforcement Agent Learning. RO-MAN 2020: 706-712 - [i4]Qilei Zhang, Jinying Lin, Qixin Sha, Bo He, Guangliang Li:
Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle. CoRR abs/2001.03359 (2020) - [i3]Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung:
Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework. CoRR abs/2001.08703 (2020)
2010 – 2019
- 2019
- [j4]Guangliang Li, Randy Gomez, Keisuke Nakamura, Bo He:
Human-Centered Reinforcement Learning: A Survey. IEEE Trans. Hum. Mach. Syst. 49(4): 337-349 (2019) - [i2]Guangliang Li, Randy Gomez, Keisuke Nakamura, Jinying Lin, Qilei Zhang, Bo He:
Improving Interactive Reinforcement Agent Planning with Human Demonstration. CoRR abs/1904.08621 (2019) - 2018
- [j3]Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung:
Social interaction for efficient agent learning from human reward. Auton. Agents Multi Agent Syst. 32(1): 1-25 (2018) - [c7]Guangliang Li, Bo He, Randy Gomez, Keisuke Nakamura:
Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback. RO-MAN 2018: 1156-1162 - [i1]Chao Yu, Tianpei Yang, Wenxuan Zhu, Dongxu Wang, Guangliang Li:
Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning. CoRR abs/1811.04272 (2018) - 2016
- [j2]Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung:
Using informative behavior to increase engagement while learning from human reward. Auton. Agents Multi Agent Syst. 30(5): 826-848 (2016) - [c6]Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung:
Towards Learning from Implicit Human Reward: (Extended Abstract). AAMAS 2016: 1353-1354 - 2015
- [c5]Guangliang Li, Hayley Hung, Shimon Whiteson:
A Large-Scale Study of Agents Learning from Human Reward. AAMAS 2015: 1771-1772 - 2014
- [j1]Christos Dimitrakakis, Guangliang Li, Nikolaos Tziortziotis:
The Reinforcement Learning Competition 2014. AI Mag. 35(3): 61-65 (2014) - [c4]Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox:
Leveraging social networks to motivate humans to train agents. AAMAS 2014: 1571-1572 - [c3]Sander Bakkes, Shimon Whiteson, Guangliang Li, George Viorel Visniuc, Efstathios Charitos, Norbert Heijne, Arjen Swellengrebel:
Challenge balancing for personalised game spaces. GEM 2014: 1-8 - [c2]Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox:
Learning from human reward benefits from socio-competitive feedback. ICDL-EPIROB 2014: 93-100 - 2013
- [c1]Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox:
Using informative behavior to increase engagement in the tamer framework. AAMAS 2013: 909-916
Coauthor Index
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last updated on 2024-08-21 20:29 CEST by the dblp team
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