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智能体，顾名思义，就是具有智能的实体，英文名是Agent。
When Openclaw Agents Learn from Each Other: Insights from Emergent AI Agent Communities for Human-AI Partnership in Education
Arxiv
0+阅读 · 3月18日
Eliciting Truthful Feedback for Preference-Based Learning via the VCG Mechanism
Arxiv
0+阅读 · 3月18日
PAuth - Precise Task-Scoped Authorization For Agents
PAuth - Precise Task-Scoped Authorization For Agents
Arxiv
0+阅读 · 3月17日
CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization
CODMAS: A Dialectic Multi-Agent Collaborative Framework for Structured RTL Optimization
Arxiv
0+阅读 · 3月17日
FACET: Teacher-Centred LLM-Based Multi-Agent Systems-Towards Personalized Educational Worksheets
FACET: Teacher-Centred LLM-Based Multi-Agent Systems-Towards Personalized Educational Worksheets
Arxiv
0+阅读 · 3月18日
When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Attribution
Arxiv
0+阅读 · 3月18日
IEMAS: An Incentive-Efficiency Routing Framework for Open Agentic Web Ecosystems
Arxiv
0+阅读 · 3月18日
Caging the Agents: A Zero Trust Security Architecture for Autonomous AI in Healthcare
Arxiv
0+阅读 · 3月18日
Efficient LLM Safety Evaluation through Multi-Agent Debate
Efficient LLM Safety Evaluation through Multi-Agent Debate
Arxiv
0+阅读 · 3月18日
P$^{3}$Nav: End-to-End Perception, Prediction and Planning for Vision-and-Language Navigation
Arxiv
0+阅读 · 3月18日
Learning generalized Nash equilibria from pairwise preferences
Arxiv
0+阅读 · 3月17日
When Openclaw Agents Learn from Each Other: Insights from Emergent AI Agent Communities for Human-AI Partnership in Education
Arxiv
0+阅读 · 3月17日
CTI-REALM: Benchmark to Evaluate Agent Performance on Security Detection Rule Generation Capabilities
Arxiv
0+阅读 · 3月17日
When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
Arxiv
0+阅读 · 3月17日
Internalizing Agency from Reflective Experience
Arxiv
0+阅读 · 3月17日
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