Shanqi Liu

Orcid: 0000-0003-0583-2423

According to our database1, Shanqi Liu authored at least 19 papers between 2020 and 2024.

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

Timeline

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Links

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Bibliography

2024
Learning Multi-Agent Cooperation via Considering Actions of Teammates.
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
Expert demonstrations guide reward decomposition for multi-agent cooperation.
Neural Comput. Appl., September, 2023

The Onsager-Machlup action functional for McKean-Vlasov stochastic differential equations.
Commun. Nonlinear Sci. Numer. Simul., June, 2023

Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions.
CoRR, 2023

Lightweight Cryptography Implementation for Internet of Things Network on FPGA.
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
Self-play reinforcement learning with comprehensive critic in computer games.
Neurocomputing, 2021

Learning Intra-group Cooperation in Multi-agent Systems.
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

One-shot Face Reenactment Using Appearance Adaptive Normalization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
HILONet: Hierarchical Imitation Learning from Non-Aligned Observations.
CoRR, 2020


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