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Renting Rui

2 accepted papers

2026

Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning

ICLR 2026poster

Reinforcement learning (RL) is the dominant paradigm for sharpening strategic tool use capabilities of LLMs on long-horizon, sparsely-rewarded agent tasks, yet it faces a fundamental challenge of exploration-exploitation trade-off. Existing studies stimulate exploration through the lens of policy en…

Cited by 0SourcecodeScholar
2025

AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems

NeurIPS 2025poster

The rapid advancement of Large Language Models (LLMs) has catalyzed the development of multi-agent systems, where multiple LLM-based agents collaborate to solve complex tasks. However, existing systems predominantly rely on centralized coordination, which introduces scalability bottlenecks, limits…

Cited by 0SourceScholar