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Publication search results
found 14 matches
- 2024
- Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu:
Think Before You Act: Decision Transformers with Working Memory. ICML 2024 - Rongrong Wang, Duc Van Le, Jikun Kang, Rui Tan, Xue Liu:
Incentive Temperature Control for Green Colocation Data Centers via Reinforcement Learning. IWQoS 2024: 1-6 - Qianxi Li, Yingyue Cao, Jikun Kang, Tianpei Yang, Xi Chen, Jun Jin, Matthew E. Taylor:
LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models. CoRR abs/2401.00907 (2024) - Jikun Kang, Xin Zhe Li, Xi Chen, Amirreza Kazemi, Boxing Chen:
MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time. CoRR abs/2405.16265 (2024) - 2023
- Jikun Kang, Di Wu, Ju Wang, Ekram Hossain, Xue Liu, Gregory Dudek:
Multi-Agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks. ICC 2023: 5160-5165 - Jikun Kang, Di Wu, Ju Wang, Ekram Hossain, Xue Liu, Gregory Dudek:
Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks. CoRR abs/2303.08003 (2023) - Jikun Kang, Romain Laroche, Xindi Yuan, Adam Trischler, Xue Liu, Jie Fu:
Think Before You Act: Decision Transformers with Internal Working Memory. CoRR abs/2305.16338 (2023) - 2022
- Tianyi Chen, Shengrong Bu, Xue Liu, Jikun Kang, F. Richard Yu, Zhu Han:
Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning. IEEE Trans. Smart Grid 13(1): 715-727 (2022) - Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue (Steve) Liu, Jie Fu:
Learning Multi-Objective Curricula for Robotic Policy Learning. CoRL 2022: 847-858 - Jikun Kang, Ju Wang, Chengming Hu, Xue Liu, Gregory Dudek:
A Generalized Load Balancing Policy With Multi-Teacher Reinforcement Learning. GLOBECOM 2022: 3096-3101 - 2021
- Chengming Hu, Xi Chen, Ju Wang, Hang Li, Jikun Kang, Yi Tian Xu, Xue Liu, Di Wu, Seowoo Jang, Intaik Park, Gregory Dudek:
AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting. GLOBECOM 2021: 1-6 - Di Wu, Jikun Kang, Yi Tian Xu, Hang Li, Jimmy Li, Xi Chen, Dmitriy Rivkin, Michael Jenkin, Taeseop Lee, Intaik Park, Xue Liu, Gregory Dudek:
Load Balancing for Communication Networks via Data-Efficient Deep Reinforcement Learning. GLOBECOM 2021: 1-7 - Jikun Kang, Xi Chen, Di Wu, Yi Tian Xu, Xue Liu, Gregory Dudek, Taeseop Lee, Intaik Park:
Hierarchical Policy Learning for Hybrid Communication Load Balancing. ICC 2021: 1-6 - Jikun Kang, Miao Liu, Abhinav Gupta, Chris Pal, Xue Liu, Jie Fu:
Learning Multi-Objective Curricula for Deep Reinforcement Learning. CoRR abs/2110.03032 (2021)
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