Runji Lin
Scholar

Runji Lin

Google Scholar ID: _8YDMC0AAAAJ
Institute of Automation, Chinese Academy of Sciences
Reinforcement LearningMulti-Agent SystemLarge Language Model
Citations & Impact
All-time
Citations
10,182
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
15
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Large language models play starcraft ii: Benchmarks and a chain of summarization approach, arXiv:2312.11865, 2023
  • Routing to the expert: Efficient reward-guided ensemble of large language models, arXiv:2311.08692, 2023
  • InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models, ICLR 2023
  • Qwen technical report, arXiv:2309.16609, 2023
  • Learn to Flap: Foil Non-parametric Path Planning via Deep Reinforcement Learning, Journal of Fluid Mechanics, 2023
  • Large Sequence Models for Sequential Decision-Making: A Survey, Frontiers of Computer Science, 2023
  • Contextual Transformer for Offline Meta Reinforcement Learning, NeurIPS 2022 Workshop, 2022
  • Scalable Model-based Policy Optimization for Decentralized Networked Systems, IROS 2022
  • Multi-Agent Reinforcement Learning is a Sequence Modeling Problem, NeurIPS 2022
  • Increasing the Data Rate for Reflected Optical Camera Communication Using Uniform LED Light, IEEE INFOCOM 2020 Workshops, 2020