Collection by 
13 days ago
Collections
Discover the best community collections!
Collections including paper arxiv:2604.22748
Collection by 
May 26
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Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
Paper • 2604.22748 • Published • 157 -
OpenGame: Open Agentic Coding for Games
Paper • 2604.18394 • Published • 87 -
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Paper • 2503.21460 • Published • 84 -
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Paper • 2402.01680 • Published • 2
Collection by 
May 25
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MAXS: Meta-Adaptive Exploration with LLM Agents
Paper • 2601.09259 • Published • 94 -
Memento-Skills: Let Agents Design Agents
Paper • 2603.18743 • Published • 59 -
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
Paper • 2604.22748 • Published • 157 -
Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents
Paper • 2604.22085 • Published • 16
Collection by 
May 20
Collection by 
Apr 29
Collection by 
Aug 6
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Agent Learning via Early Experience
Paper • 2510.08558 • Published • 256 -
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Paper • 2510.08002 • Published • 24 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 10 -
The Denario project: Deep knowledge AI agents for scientific discovery
Paper • 2510.26887 • Published • 8
Collection by 13 days ago
Collection by May 20
Collection by May 26
-
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
Paper • 2604.22748 • Published • 157 -
OpenGame: Open Agentic Coding for Games
Paper • 2604.18394 • Published • 87 -
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Paper • 2503.21460 • Published • 84 -
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Paper • 2402.01680 • Published • 2
Collection by Apr 29
Collection by May 25
-
MAXS: Meta-Adaptive Exploration with LLM Agents
Paper • 2601.09259 • Published • 94 -
Memento-Skills: Let Agents Design Agents
Paper • 2603.18743 • Published • 59 -
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond
Paper • 2604.22748 • Published • 157 -
Memanto: Typed Semantic Memory with Information-Theoretic Retrieval for Long-Horizon Agents
Paper • 2604.22085 • Published • 16
Collection by Aug 6
-
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 256 -
Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks
Paper • 2510.08002 • Published • 24 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 10 -
The Denario project: Deep knowledge AI agents for scientific discovery
Paper • 2510.26887 • Published • 8