AI Agents

Why does Multi-Agent RL fail to act like a real society in Spatial Game Theory? [P] [R]

Hey everyone, I’m building a project for my university Machine Learning course called "Social network analysis using iterated game theory...

AWS turns its S3 storage service into a file system for AI agents

Moody’s Integrates AI Agents With Anthropic’s Claude

[2602.15669] PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra

The paper introduces PERSONA, a novel framework for dynamic personality control in Large Language Models (LLMs) using activation vector a...

[2602.15635] On inferring cumulative constraints

This paper presents a method for inferring cumulative constraints in scheduling problems, improving search performance and generating new...

[2602.15580] How Vision Becomes Language: A Layer-wise Information-Theoretic Analysis of Multimodal Reasoning

This paper analyzes how multimodal Transformers integrate visual and linguistic information, revealing a layer-wise evolution of predicti...

[2602.15553] RUVA: Personalized Transparent On-Device Graph Reasoning

The paper presents RUVA, a novel architecture for personalized on-device graph reasoning that enhances user control over AI-generated con...

[2602.15259] Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight

This paper discusses the limitations of generative AI agents that equate understanding with resolving explicit queries, highlighting the ...

[2602.15252] Decision Making under Imperfect Recall: Algorithms and Benchmarks

This paper presents a benchmark suite for decision-making under imperfect recall in game theory, introducing regret matching algorithms t...

[2602.15531] GenAI-LA: Generative AI and Learning Analytics Workshop (LAK 2026), April 27--May 1, 2026, Bergen, Norway

The article presents the GenAI-LA workshop focusing on Generative AI and Learning Analytics, scheduled for April 27-May 1, 2026, in Berge...

[2602.15403] Common Belief Revisited

The paper 'Common Belief Revisited' challenges existing notions of common belief in knowledge representation, proposing a new axiom for i...

[2602.15325] AgriWorld:A World Tools Protocol Framework for Verifiable Agricultural Reasoning with Code-Executing LLM Agents

The AgriWorld framework integrates large language models with agricultural data processing, enhancing reasoning capabilities for agronomi...

[2602.15384] World-Model-Augmented Web Agents with Action Correction

The paper presents WAC, a web agent that enhances task execution by integrating model collaboration, consequence simulation, and action r...

[2602.15294] EAA: Automating materials characterization with vision language model agents

The paper introduces Experiment Automation Agents (EAA), a system leveraging vision-language models to automate complex microscopy workfl...

[2602.15274] When Remembering and Planning are Worth it: Navigating under Change

This article explores how various memory types enhance spatial navigation in changing environments, highlighting the efficiency of agents...

[2602.15091] Mixture-of-Experts under Finite-Rate Gating: Communication--Generalization Trade-offs

This paper explores the trade-offs in Mixture-of-Experts (MoE) architectures under finite-rate gating, focusing on communication efficien...

[2602.15136] Universal priors: solving empirical Bayes via Bayesian inference and pretraining

The paper explores how a pretrained transformer can effectively solve empirical Bayes problems by leveraging universal priors, demonstrat...

[2602.15173] Mind the (DH) Gap! A Contrast in Risky Choices Between Reasoning and Conversational LLMs

This paper examines the decision-making behaviors of large language models (LLMs) under uncertainty, contrasting reasoning models with co...

[2602.15212] Secure and Energy-Efficient Wireless Agentic AI Networks

This paper presents a secure and energy-efficient wireless AI network that utilizes a supervisor AI agent to optimize reasoning tasks whi...

[2602.15158] da Costa and Tarski meet Goguen and Carnap: a novel approach for ontological heterogeneity based on consequence systems

This paper introduces a novel approach to ontological heterogeneity, integrating concepts from Carnapian-Goguenism and consequence system...

[2602.15056] Reconstructing Carbon Monoxide Reanalysis with Machine Learning

This article discusses a study on using machine learning to reconstruct carbon monoxide reanalysis data, addressing challenges posed by v...

[2602.15156] Panini: Continual Learning in Token Space via Structured Memory

The paper presents Panini, a continual learning framework for language models that enhances efficiency and accuracy by integrating experi...

[2602.15040] SOON: Symmetric Orthogonal Operator Network for Global Subseasonal-to-Seasonal Climate Forecasting

The paper introduces the Symmetric Orthogonal Operator Network (SOON) for improved global Subseasonal-to-Seasonal climate forecasting, ad...