Autonomous agents, tool use, and agentic systems
Hi everyone, I’ve been exploring MCP and integrating tools like n8n with Claude Code, and I’m trying to understand how practical this rea...
Browser Rendering now exposes the Chrome DevTools Protocol, which means MCP clients can access a remote browser directly. That’s a pretty...
Anthropic launches Claude Managed Agents in public beta — composable APIs for shipping production AI agents 10x faster Handles sandboxing...
![[2602.13227] An Agentic AI Control Plane for 6G Network Slice Orchestration, Monitoring, and Trading](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This paper presents an innovative AI control plane for 6G network slice orchestration, emphasizing agentic autonomy and market-aware capa...
This paper presents the Quest Graph framework for analyzing agentic systems' capabilities, establishing a computational hierarchy and eff...
This article presents MA-DHRL-OM, a novel overlay multicast routing method utilizing multi-agent deep hierarchical reinforcement learning...
This article explores the integration of Large Language Models (LLMs) with Reinforcement Learning (RL) to optimize wireless networks, par...
The paper presents the Multi-Agent Debate (MAD) framework for tabular anomaly detection, leveraging multiple ML detectors and a large lan...
This article presents a novel framework called Adversarial Network Imagination, which leverages Causal Large Language Models and Digital ...
This paper presents a model for traffic simulation in an Ad Hoc network of Unmanned Aerial Vehicles (UAVs) using generative AI to adapt c...
The paper introduces TS-Haystack, a benchmark for evaluating Time Series Language Models (TSLMs) on long-context retrieval tasks, address...
The paper presents Deep Dense Exploration (DDE), a novel approach to enhance exploration in reinforcement learning for large language mod...
The paper discusses the development of a Deep Research AI agent, Bioptic Agent, designed for drug asset scouting, particularly in non-U.S...
This paper presents two definitions of primary cause within a hybrid action-theoretic framework, addressing the complexities of causation...
The article presents MAC-AMP, a novel closed-loop multi-agent system designed for the multi-objective optimization of antimicrobial pepti...
The paper presents ReusStdFlow, a framework designed to enhance the reusability of workflows in Agentic AI by standardizing Domain Specif...
The paper discusses how introspective experiences from conversational environments can enhance learning in AI systems, arguing for the im...
This paper explores the effectiveness of chain-of-thought (CoT) prompting in large language models, analyzing how different components co...
The ROAST technique enhances the control of large language models by utilizing on-distribution rollouts for more effective activation ste...
This paper presents a novel approach to lifted relational probabilistic inference, integrating inductive learning and deductive reasoning...
This paper presents a novel approach, Adaptive Entropy Annealing (aEPG), to enhance continual fine-tuning of large pretrained vision mode...
The paper presents EmbeWebAgent, a framework for embedding web agents into existing user interfaces, enhancing their robustness and actio...
The paper presents StarWM, a novel world model for refining decision-making policies in StarCraft II using large language models, demonst...
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