Xinran Li
Scholar

Xinran Li

Google Scholar ID: 6fYlKXgAAAAJ
The Hong Kong University of Science and Technology (HKUST)
reinforcement learningmulti-agent reinforcement learning
Citations & Impact
All-time
Citations
48
 
H-index
4
 
i10-index
2
 
Publications
11
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Paper 'Learn as Individuals, Evolve as a Team: Multi-agent LLMs Adaptation in Embodied Environments' posted on arXiv in June 2025
  • Paper 'Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective' posted on arXiv in June 2025
  • Paper 'C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning' accepted to ICML 2025
  • Paper 'Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning' accepted to ICLR 2024
  • Paper 'Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control' accepted to AISTATS 2025
  • Paper 'Learn How to Query from Unlabeled Data Streams in Federated Learning' accepted to AAAI 2025
  • Paper 'Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning' accepted to NeurIPS 2024
  • Paper 'Context-aware Communication for Multi-agent Reinforcement Learning' published at AAMAS 2024