Guangliang Li

Orcid: 0000-0003-1728-5711

According to our database¹, Guangliang Li authored at least 37 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Transferring Meta-Policy From Simulation to Reality via Progressive Neural Network.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2024

Multi-Agent Generative Adversarial Interactive Self-Imitation Learning for AUV Formation Control and Obstacle Avoidance.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Coverage Path Planning for UAV Based on Improved Back-and-Forth Mode.

[BibT_eX]

[DOI]

IEEE Access, 2023

Emotional Understanding and Behavior Learning for Haru via Social Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Social Robotics - 15th International Conference, 2023

Model-based Adversarial Imitation Learning from Demonstrations and Human Reward.

[BibT_eX]

[DOI]

IROS, 2023

Sim-to-Real Policy and Reward Transfer with Adaptive Forward Dynamics Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

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

[BibT_eX]

[DOI]

Nat. Mac. Intell., December, 2022

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

[BibT_eX]

[DOI]

J. Intell. Robotic Syst., 2022

Imitating Human Strategy for Social Robot in Real-Time Two-Player Games.

[BibT_eX]

[DOI]

Proceedings of the Social Robotics - 14th International Conference, 2022

Personalized Storytelling with Social Robot Haru.

[BibT_eX]

[DOI]

Proceedings of the Social Robotics - 14th International Conference, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

Affective Behavior Learning for Social Robot Haru with Implicit Evaluative Feedback.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

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

[BibT_eX]

[DOI]

Sensors, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Shaping Affective Robot Haru's Reactive Response.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Automating Behavior Selection for Affective Telepresence Robot.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle.

[BibT_eX]

[DOI]

IEEE Access, 2020

Navnet: AUV Navigation Through Deep Sequential Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

A Review on Interactive Reinforcement Learning From Human Social Feedback.

[BibT_eX]

[DOI]

IEEE Access, 2020

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

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2020

Human Social Feedback for Efficient Interactive Reinforcement Agent Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

Interactive RL via Online Human Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Human-Centered Reinforcement Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Hum. Mach. Syst., 2019

Improving Interactive Reinforcement Agent Planning with Human Demonstration.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Social interaction for efficient agent learning from human reward.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2018

Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, 2018

2016

Using informative behavior to increase engagement while learning from human reward.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2016

Towards Learning from Implicit Human Reward: (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

A Large-Scale Study of Agents Learning from Human Reward.

[BibT_eX]

[DOI]

Guangliang Li

Hayley Hung

Shimon Whiteson

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

The Reinforcement Learning Competition 2014.

[BibT_eX]

[DOI]

Christos Dimitrakakis

Guangliang Li

Nikolaos Tziortziotis

AI Mag., 2014

Learning from human reward benefits from socio-competitive feedback.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Challenge balancing for personalised game spaces.

[BibT_eX]

[DOI]

Sander Bakkes

Shimon Whiteson

Guangliang Li

George Viorel Visniuc

Efstathios Charitos

Norbert Heijne

Arjen Swellengrebel

Proceedings of the 2014 IEEE Games Media Entertainment, 2014

Leveraging social networks to motivate humans to train agents.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

Using informative behavior to increase engagement in the tamer framework.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Guangliang Li

Timeline

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On csauthors.net:

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