Guangliang Li

According to our database, Guangliang Li authored at least 19 papers between 2013 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

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

Qilei Zhang, Jinying Lin, Qixin Sha, Bo He, Guangliang Li

IEEE Access, 2020

Navnet: AUV Navigation Through Deep Sequential Learning.

Xin Zhang, Bo He, Guangliang Li, Xiaokai Mu, Ying Zhou, Tanji Mang

IEEE Access, 2020

A Review on Interactive Reinforcement Learning From Human Social Feedback.

Jinying Lin, Zhen Ma, Randy Gomez, Keisuke Nakamura, Bo He, Guangliang Li

IEEE Access, 2020

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

Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung

Auton. Agents Multi Agent Syst., 2020

Human Social Feedback for Efficient Interactive Reinforcement Agent Learning.

Jinying Lin, Qilei Zhang, Randy Gomez, Keisuke Nakamura, Bo He, Guangliang Li

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

Interactive RL via Online Human Demonstrations.

Chao Yu, Tianpei Yang, Wenxuan Zhu, Yinzhao Dong, Guangliang Li

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

2019

Human-Centered Reinforcement Learning: A Survey.

Guangliang Li, Randy Gomez, Keisuke Nakamura, Bo He

IEEE Trans. Hum. Mach. Syst., 2019

Improving Interactive Reinforcement Agent Planning with Human Demonstration.

Guangliang Li, Randy Gomez, Keisuke Nakamura, Jinying Lin, Qilei Zhang, Bo He

CoRR, 2019

2018

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

Chao Yu, Tianpei Yang, Wenxuan Zhu, Dongxu Wang, Guangliang Li

CoRR, 2018

Social interaction for efficient agent learning from human reward.

Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung

Auton. Agents Multi Agent Syst., 2018

Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback.

Guangliang Li, Bo He, Randy Gomez, Keisuke Nakamura

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.

Guangliang Li, Shimon Whiteson, W. Bradley Knox, Hayley Hung

Auton. Agents Multi Agent Syst., 2016

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

Guangliang Li, Hamdi Dibeklioglu, Shimon Whiteson, Hayley Hung

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

2015

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

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.

Christos Dimitrakakis, Guangliang Li, Nikolaos Tziortziotis

AI Mag., 2014

Learning from human reward benefits from socio-competitive feedback.

Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox

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

Challenge balancing for personalised game spaces.

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.

Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox

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

2013

Using informative behavior to increase engagement in the tamer framework.

Guangliang Li, Hayley Hung, Shimon Whiteson, W. Bradley Knox

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