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Songjun Huang
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2020 – today
- 2024
- [c6]Songjun Huang, Chuanneng Sun, Ruo-Qian Wang, Dario Pompili:
Multi-Behavior Multi-Agent Reinforcement Learning for Informed Search via Offline Training. DCOSS-IoT 2024: 19-26 - [c5]Songjun Huang, Chuanneng Sun, Jie Gong, Dario Pompili:
A Bi-Layer Joint Training Reinforcement Learning Framework for Post-Disaster Rescue. DCOSS-IoT 2024: 353-360 - [c4]Songjun Huang, Yihong Li, Liangkun Chen, Xiaoxi Zhang, Shuo Liu, Jingpu Duan, Wenfei Wu, Xu Chen:
Alleviating All-to-All Communication for Deep Learning Recommendation Model Inference. ICPP Workshops 2024: 104-105 - [i2]Chuanneng Sun, Songjun Huang, Dario Pompili:
LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions. CoRR abs/2405.11106 (2024) - [i1]Chuanneng Sun, Songjun Huang, Dario Pompili:
Hierarchical in-Context Reinforcement Learning with Hindsight Modular Reflections for Planning. CoRR abs/2408.06520 (2024) - 2023
- [c3]Chuanneng Sun, Songjun Huang, Dario Pompili:
HMAAC: Hierarchical Multi-Agent Actor-Critic for Aerial Search with Explicit Coordination Modeling. ICRA 2023: 7728-7734 - 2021
- [c2]Yung-Ting Hsieh, Khizar Anjum, Songjun Huang, Indraneel S. Kulkarni, Dario Pompili:
Hybrid Analog-Digital Sensing Approach for Low-power Real-time Anomaly Detection in Drones. MASS 2021: 446-454 - [c1]Yung-Ting Hsieh, Khizar Anjum, Songjun Huang, Indraneel S. Kulkarni, Dario Pompili:
Neural Network Design via Voltage-based Resistive Processing Unit and Diode Activation Function - A New Architecture. MWSCAS 2021: 59-62
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last updated on 2024-10-07 22:16 CEST by the dblp team
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