Haoran Li
Orcid: 0000-0003-2559-9585Affiliations:
- Chinese Academy of Sciences, State Key Laboratory of Management and Control for Complex Systems, Beijing, China
- University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
- Chinese Academy of Sciences, Institute of Automation, Beijing, China (PhD 2020)
According to our database1,
Haoran Li
authored at least 25 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024
Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility.
IEEE Trans. Artif. Intell., September, 2024
IEEE Trans. Cogn. Dev. Syst., August, 2024
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization.
CoRR, 2024
High-quality Synthetic Data is Efficient for Model-based Offline Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
IEEE Trans. Cogn. Dev. Syst., September, 2023
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.
CoRR, 2023
CoRR, 2023
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning.
CoRR, 2023
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Cybern., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
CoRR, 2021
IA-CNN: A generalised interpretable convolutional neural network with attention mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Cognitive Systems and Information Processing, 2021
2020
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment.
IEEE Trans. Neural Networks Learn. Syst., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
2018
A temporal-based deep learning method for multiple objects detection in autonomous driving.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018