Move beyond simple text generation and step into the era of autonomous AI. This category covers Agentic Systems and AI Agents that can plan, reason, and interact with digital environments 🌐. Explore cutting-edge research on hierarchical control, reinforcement learning, and multi-agent frameworks that are teaching AI to navigate software, use apps, and solve multi-step problems just like a human.
MetaClaw: The LLM Agent That Meta-Learns and Evolves in the Wild | AI Trend Blend AITrendBlend Machine Learning Computer Vision About LLM Agents · Continual Learning · UNC-Chapel Hill · CMU · UC Santa Cruz · UC Berkeley (2026) · 25 min read MetaClaw: The LLM Agent That Meta-Learns and Evolves in the Wild — […]
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Goal-Oriented Graphs: How NTU Researchers Finally Taught LLMs to Plan Like Humans in Minecraft | AI Trend Blend AITrendBlend Home ML Research NLP & LLMs Contact LLM Agents & Reasoning Goal-Oriented Graphs: How NTU Researchers Finally Taught LLMs to Plan Like Humans GraphRAG shreds procedural knowledge into thousands of disconnected fragments. A new framework from
When Drones Learn to Distrust: A New Framework That Teaches Multi-Agent Systems to Spot Unreliable Sensors AITrendBlend Machine Learning About Multi-Agent Systems · Information Fusion 133 (2026) 104261 · 18 min read When Drones Learn to Distrust: The Sensor Fusion Framework That Teaches Multi-Agent Systems to Spot Bad Data in Real Time Researchers at the
AgentDropoutV2: Test-Time Rectify-or-Reject Pruning for Multi-Agent Systems | AI Security Research AISecurity Research Machine Learning About Multi-Agent Systems · arXiv:2602.23258v1 [cs.AI] · 16 min read AgentDropoutV2: Teaching Multi-Agent Systems to Self-Correct Through Test-Time Rectify-or-Reject Pruning A novel test-time framework that intercepts and iteratively rectifies erroneous agent outputs using retrieval-augmented adversarial indicators, achieving 6.3% accuracy improvement
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K2-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control | AI Security Research AISecurity Research Machine Learning About Agent Systems · ICLR 2026 · 18 min read K2-Agent: The Cognitive Architecture That Taught AI to Think Like Humans About Mobile Tasks A hierarchical framework separates “knowing what” from “knowing how” — enabling co-evolution of
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