Kaiqiang Tang

Orcid: 0000-0002-7456-0962

According to our database1, Kaiqiang Tang authored at least 14 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Correction: LMR-IPGN: An Effective Model for automatic summarization of Chinese text.
Multim. Syst., August, 2025

LMR-IPGN: An Effective Model for automatic summarization of Chinese long text.
Multim. Syst., June, 2025

Learning Diverse Natural Behaviors for Enhancing the Agility of Quadrupedal Robots.
CoRR, May, 2025

PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Hierarchical Multicontact Motion Planning of Hexapod Robots With Incremental Reinforcement Learning.
IEEE Trans. Cogn. Dev. Syst., August, 2024

Incremental Reinforcement Learning via Performance Evaluation and Policy Perturbation.
IEEE Trans. Artif. Intell., May, 2024

Dynamic Capacitated Vehicle Routing Problem with Stochastic Requests Using Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Multi-agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023
Hierarchical Free Gait Motion Planning for Hexapod Robots Using Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, November, 2023

Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021
Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2019
Reinforcement Learning for Robots Path Planning with Rule-based Shallow-trial.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

2018
Knowledge Transfer between Multi-granularity Models for Reinforcement Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017
Obstacle avoidance of hexapod robots using fuzzy Q-learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017


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