Shanqi Liu
Orcid: 0000-0003-0583-2423
According to our database1,
Shanqi Liu
authored at least 19 papers
between 2020 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., August, 2024
TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning.
Int. J. Artif. Intell. Robotics Res., June, 2024
True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning.
CoRR, 2024
Multi-constraint improved RS path planning method for unmanned rice direct seeding machine.
Comput. Electron. Agric., 2024
True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Exploit Spatiotemporal Contextual Information for 3D Single Object Tracking via Memory Networks.
Proceedings of the International Conference on 3D Vision, 2024
2023
Neural Comput. Appl., September, 2023
The Onsager-Machlup action functional for McKean-Vlasov stochastic differential equations.
Commun. Nonlinear Sci. Numer. Simul., June, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification.
Proceedings of the International Conference on Machine Learning, 2023
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
CICC: Channel Pruning via the Concentration of Information and Contributions of Channels.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Neurocomputing, 2021
Proceedings of the 27th International Conference on Mechatronics and Machine Vision in Practice, 2021
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020