Guangliang Li

发表

The Reinforcement Learning Competition 2014

Christos Dimitrakakis, Nikolaos Tziortziotis, Guangliang Li, 2014, AI Mag..

Using informative behavior to increase engagement in the tamer framework

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2013, AAMAS.

Social interaction for efficient agent learning from human reward

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2017, Autonomous Agents and Multi-Agent Systems.

Side-scan sonar image segmentation based on gray level co-occurrence matrices and unsupervised extreme learning machine

Guangliang Li, Yan Song, Mingcui Zhu, 2017, OCEANS 2017 - Aberdeen.

Reinforcement Learning from Demonstration and Human Reward

Guangliang Li, 2016 .

UvA-DARE ( Digital Academic Repository ) Challenge Balancing for Personalised Game Spaces

George Viorel Visniuc, S. Whiteson, Guangliang Li, 2014 .

Facial Feedback for Reinforcement Learning: A Case Study and Offline Analysis Using the TAMER Framework

Shimon Whiteson, Hamdi Dibeklioglu, Hayley Hung, 2021, AAMAS.

Autonomous underwater vehicle formation control and obstacle avoidance using multi-agent generative adversarial imitation learning

Guangliang Li, Jie Huang, Zheng Fang, 2022, Ocean Engineering.

Real-time topology optimization based on deep learning for moving morphable components

Guangliang Li, Dongyan Shi, Pengyun Liu, 2022, Automation in Construction.

Shaping Haru’s Affective Behavior with Valence and Arousal Based Implicit Facial Feedback

Guangliang Li, Haibo Wang, R. Gomez, 2022, 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).

Transferring policy of deep reinforcement learning from simulation to reality for robotics

Guangliang Li, R. Gomez, Keisuke Nakamura, 2022, Nat. Mac. Intell..

Affective Behavior Learning for Social Robot Haru with Implicit Evaluative Feedback

Guangliang Li, Haibo Wang, R. Gomez, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Segmentation of Sidescan Sonar Imagery Using Markov Random Fields and Extreme Learning Machine

Amaury Lendasse, Yan Song, Bo He, 2019, IEEE Journal of Oceanic Engineering.

A Modified ALOS Method of Path Tracking for AUVs with Reinforcement Learning Accelerated by Dynamic Data-Driven AUV Model

Guangliang Li, Yue Shen, Dianrui Wang, 2022, Journal of Intelligent & Robotic Systems.

Path planning and obstacle avoidance for AUV: A review

Qixin Sha, Guangliang Li, Bo He, 2021 .

Action Guidance-Based Deep Interactive Reinforcement Learning for AUV Path Planning

Guangliang Li, Zheng Fang, Dongqian Jiang, 2022, 2022 International Conference on Machine Learning, Control, and Robotics (MLCR).

Generative adversarial interactive imitation learning for path following of autonomous underwater vehicle

Guangliang Li, Zheng Fang, Dongqian Jiang, 2022, Ocean Engineering.

Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle

Qixin Sha, Bo He, Qilei Zhang, 2020, IEEE Access.

Human-Centered Reinforcement Learning: A Survey

Bo He, Randy Gomez, Keisuke Nakamura, 2019, IEEE Transactions on Human-Machine Systems.

A Review on Interactive Reinforcement Learning From Human Social Feedback

Keisuke Nakamura, Guangliang Li, Randy Gomez, 2020, IEEE Access.

Challenge balancing for personalised game spaces

Shimon Whiteson, Sander Bakkes, Guangliang Li, 2014, 2014 IEEE Games Media Entertainment.

Human Social Feedback for Efficient Interactive Reinforcement Agent Learning

Keisuke Nakamura, Qilei Zhang, Guangliang Li, 2020, 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).

Socially intelligent autonomous agents that learn from human reward

Guangliang Li, Guangliang Li, 2016 .

Using informative behavior to increase engagement while learning from human reward

Shimon Whiteson, Hayley Hung, W. Bradley Knox, 2015, Autonomous Agents and Multi-Agent Systems.

Side scan sonar segmentation using deep convolutional neural network

Yan Song, Bo He, Yuemei Zhu, 2017, OCEANS 2017 – Anchorage.

Multiple Receptive Field Network (MRF-Net) for Autonomous Underwater Vehicle Fishing Net Detection Using Forward-Looking Sonar Images

Bo He, Tianhong Yan, Guangliang Li, 2021, Sensors.

Detection of Weak and Small Targets in Forward-Looking Sonar Image Using Multi-Branch Shuttle Neural Network

Guangliang Li, Jianjun Wang, Chen Feng, 2022, IEEE Sensors Journal.

Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback

Bo He, Keisuke Nakamura, Randy Gomez, 2018, 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Navnet: AUV Navigation Through Deep Sequential Learning

Xin Zhang, Guangliang Li, Xiaokai Mu, 2020, IEEE Access.

Sliding mode heading control for AUV based on continuous hybrid model-free and model-based reinforcement learning

Guangliang Li, Junhe Wan, Yue Shen, 2022, Applied Ocean Research.

PCA and Kernel-based extreme learning machine for side-scan sonar image classification

Chen Feng, Yan Song, Jia Guo, 2017, 2017 IEEE Underwater Technology (UT).

Shaping Progressive Net of Reinforcement Learning for Policy Transfer with Human Evaluative Feedback

Qixin Sha, Randy Gomez, Guangliang Li, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Nonlinear path following of autonomous underwater vehicle considering uncertainty

Bo He, Qixin Sha, Yue Shen, 2017, 2017 IEEE Underwater Technology (UT).

GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback

Guangliang Li, R. Gomez, Keisuke Nakamura, 2021, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Sensor fault diagnosis of autonomous underwater vehicle based on extreme learning machine

Yan Song, Jia Guo, Bo He, 2017, 2017 IEEE Underwater Technology (UT).

Improving Interactive Reinforcement Agent Planning with Human Demonstration pdf

Bo He, Keisuke Nakamura, Randy Gomez, 2019, ArXiv.

Facial feedback for reinforcement learning: a case study and offline analysis using the TAMER framework

Shimon Whiteson, Hamdi Dibeklioglu, Hayley Hung, 2020, Autonomous Agents and Multi-Agent Systems.

Continuous Control for Autonomous Underwater Vehicle Path Following Using Deep Interactive Reinforcement Learning

Guangliang Li, Zheng Fang, Dongqian Jiang, 2022, 2022 International Conference on Machine Learning, Control, and Robotics (MLCR).

Heading control for an Autonomous Underwater Vehicle using ELM-based Q-learning

Bo He, Qixin Sha, Yue Shen, 2017, 2017 IEEE Underwater Technology (UT).