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2 days ago

Google Cloud Launches Agent Compute Engine: A MicroVM per AI Agent

Google Cloud announced Agent Compute Engine, a compute service that gives every AI agent its own hardware-isolated microVM with no credentials inside. It already runs Gemini agents and enters preview in the coming months.…

2 days ago

You.com Launches Inference Router: 12 Open-Weight Models With 99.9% Uptime SLA

You.com launched Inference Router, an OpenAI-compatible API for 12 open-weight models with a 99.9% uptime SLA, zero data retention, 100% US hosting, server-side web search and no platform fee. The post You.com Launches Inference…

2 days ago

SpecMAGIC: Specification-Guided Multi-Task Generalization in Multi-Agent Reinforcement Learning

arXiv:2610.30443v1 Announce Type: new Abstract: Multi-task generalization is an important yet underexplored problem in multi-agent reinforcement learning (MARL). Many real-world applications require multi-agent systems to generalize across complex, temporally extended tasks with diverse inter-agent…

2 days ago

Optimistic Policy Regularization: Elite-Statistic Reward Shaping

arXiv:2603.06793v2 Announce Type: replace-cross Abstract: On-policy agents discard trajectories after each update, including rare high-return episodes. We propose Optimistic Policy Regularization (OPR), which turns those episodes into a closed-form reward bonus: we estimate an…

2 days ago

Secure Agentic AI and Multimodal Intelligence in 6G Communication Systems

arXiv:2610.30436v1 Announce Type: new Abstract: Sixth-generation (6G) communication systems are expected to support immersive, intent-driven, and latency-critical services through tight integration of multimodal intelligence, edge computing, and autonomous network control. In this setting, agentic…

2 days ago

RoleFlow: Self-Evolving Multi-Role Agentic Collaboration via Structural Adaptation

arXiv:2610.30429v1 Announce Type: new Abstract: Large language model (LLM) based multi-agent systems often rely on predefined collaboration structures, limiting their adaptability to evolving task requirements. Although recent approaches enable dynamic orchestration, trajectory-level rewards they…

2 days ago

ChatT2: An Adaptive Framework for Developing a Large Language Model-Based Agent for Natural Product Domain Research

arXiv:2609.25620v2 Announce Type: replace Abstract: Scientific investigations into microbial natural products (NPs) present significant challenges for novices, largely due to the complexity of microbial systems, biochemical diversity, technical skill requirements, and the demands of…

2 days ago

Accelerating Wildfire Hazard Mapping Across Canada with an AI Surrogate Modelling Framework

arXiv:2610.30170v1 Announce Type: new Abstract: Canada's increasing wildfire activity requires frequent national hazard mapping to guide proactive mitigation, including fuel management, land-use planning, infrastructure protection, and evacuation routing. However, process-based wildfire simulation frameworks (e.g.,…

2 days ago

Neural Networks with Differentiable Belief-Function Layers

arXiv:2610.30173v1 Announce Type: new Abstract: Yager's 1987 rule of combination $boxplus$ was proposed on epistemic grounds: under high conflict, mass should be redistributed to ignorance rather than renormalised onto the class simplex. We observe…

2 days ago

When Stable and Preferred Semantics Agree: A Path-Based Approach

arXiv:2610.30176v1 Announce Type: new Abstract: We investigate structural conditions under which preferred and stable semantics agree in abstract argumentation frameworks. Our approach is based on suitably chosen sets of paths in the attack graph…

2 days ago

Breaking the high-degree barrier in Lehmer's problem with a human-AI discovery loop

arXiv:2610.30277v1 Announce Type: new Abstract: While artificial intelligence has made rapid progress in mathematical reasoning, many open problems depend on structure that is revealed only through large-scale computational exploration and analytical synthesis. One such…

2 days ago

Feedback That Backfires in Games: Do LLM Players Repeat the Move They Just Watched Fail?

arXiv:2610.30205v1 Announce Type: new Abstract: When an LLM agent's move fails, the harness writes the move and the failure message into the transcript and asks again. In tool calling, this record makes small models…