Manshi Limbu
Scholar

Manshi Limbu

Google Scholar ID: TQZlvxwAAAAJ
PhD in Computer Science, George Mason University
Machine Learning on GraphsReinforcement LearningMulti-agentsCooperative-AI
Citations & Impact
All-time
Citations
27
 
H-index
3
 
i10-index
1
 
Publications
8
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • Awarded ICRA RAS Travel Grant to attend ICRA 2024 (Mar 22, 2024); Paper 'Scaling Team Coordination on Graphs with Reinforcement Learning' accepted at ICRA 2024 (Jan 29, 2024); Passed CS PhD Comprehensive Exams (Nov 21, 2023); Best Paper Finalist in Cognitive Robotics at IROS 2023 (Oct 3, 2023); Awarded IROS Travel Grant to attend IROS 2023 (Sep 3, 2023).
Research Experience
  • Previously worked as Software/DevOps Engineer at Fusemachines.
Education
  • PhD: Computer Science at George Mason University, advised by Prof. Dr Xuesu Xiao at Robotixx Lab and Prof. Dr Daigo Shishika at CRADL Lab; BS: Electronics and Communication Engineering from Tribhuvan University, Nepal.
Background
  • Research interests: machine learning and reinforcement learning on graphs for multi-agents; current research focus: developing algorithms to optimize strategic coordination/cooperation among goal-oriented multi-agents using graph neural networks and multi-agent reinforcement learning; also interested in improving generalization and sample efficiency of learning agents, with a focus on transfer learning and meta-learning to optimize agent adaptability to new tasks and environments.