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Notes on autonomous agents
18 notes
From Agent Behaviour to Agent-Friendly Documentation: An Empirical Study of How Coding Agents Discover, Read, and Write Technical Documentation
Researchers studied how autonomous coding agents interact with technical documentation by analyzing two datasets. They found that agents primarily work with internal documents like instruction files and notes rather…
Agentic Auto-Research is Fuzz Testing
The authors argue that current methods for autonomous research agents, which generate experiments and rank them based on learned judges or human reviewers, miss the problem of sparse feedback. They suggest that these…
Rethinking Inference-Time Scaling in Local Computer-Use Agents: Failure Modes and Compute Tradeoffs
The research focuses on improving the performance of local autonomous computer-use agents (CUAs) under strict hardware constraints. The study investigates inference-time scaling across contextual, temporal, structural…
Partner Capability Estimation for Task-Agnostic Adaptation in Ad-Hoc Teamwork
Researchers propose an approach called CE-CM (Capability Estimation via Contextual Models) to help autonomous agents collaborate with diverse partners in a multi-task setting. The method infers task-invariant…
Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents
Researchers have developed APPA (Agentic Permissions Policy Algebra), an Information Flow Control (IFC) framework designed to enhance security in Large Language Model (LLM) agents that handle mixed-confidentiality data…
Toward cryptographically verifiable authorization for autonomous AI agents: A security hypothesis, preliminary formal model, and proof-of-concept implementation
The authors propose a new approach to cryptographically verifiable authorization for autonomous AI agents, which would provide evidence that an agent's request satisfies the applicable policy in a specific execution…
Autoresearch with Coding Agents: Generalizers and Metric-Maximizers on Quran Recitation Data
Researchers tested two coding agents, Claude Code and OpenAI Codex, on a real-world task of identifying Quranic verses in noisy speech transcripts. Both agents developed similar algorithms initially but diverged later…
Exploratory and Assimilating Reflection: Reflective Recall Cycle for Long-term Memory
The paper proposes a framework called Exploratory-Assimilating Reflection (EAR) for autonomous agents with limited context window and external memory. EAR aims to improve retrieval performance by combining two…
Agentic Service-Oriented Computing: A Manifesto for the Next Frontier of Service-Oriented Computing
The paper introduces Agentic Service-Oriented Computing (ASOC), a new research area focusing on engineering agents as services, orchestrating services through autonomous and semi-autonomous agents, and governing…
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning
The researchers propose a method for machine learning that focuses on aligning autonomous agents' behavior with human intent in diverse operational contexts. They argue that existing methods for inverse reinforcement…
SolarChain-Eval: A Physics-Constrained Benchmark for Trustworthy Economic Agents in Decentralized Energy Markets
The authors propose SolarChain-Eval, a benchmark for evaluating the trustworthiness of autonomous agents in decentralized energy markets. It assesses market utility, physical safety, slippage, action smoothness…
Agentic Data Environments
This research focuses on Agentic Data Environments, a new approach to automation aimed at increasing benefits while limiting the potential negative consequences. The data environments are designed to enhance agent…
SkillCenter: A Large-Scale Source-Grounded Skill Library for Autonomous AI Agents
Researchers have created SkillCenter, a large-scale library of structured skills for autonomous AI agents. The library contains over 216,000 skills across 24 domains, obtained from various sources like peer-reviewed…
Distributed Attacks in Persistent-State AI Control
A study on distributed attacks in AI control where autonomous coding agents build software over a sequence of pull requests (PRs) in a persistent codebase while pursuing a covert side task. The study found that no…
EvoPolicyGym: Evaluating Autonomous Policy Evolution in Interactive Environments
The paper introduces EvoPolicyGym, a new benchmark for evaluating how autonomous agents improve their executable policies through feedback in interactive environments. The authors use this benchmark to evaluate GPT-5.5…
EvoPolicyGym: Evaluating Autonomous Policy Evolution in Interactive Environments
In the research paper titled 'EvoPolicyGym', the authors introduce a controlled evaluation setting called Autonomous Policy Evolution (APE) for assessing how autonomous agents iteratively improve their executable…
Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration
The paper presents a new infrastructure called Clarus designed to coordinate autonomous research agents for web-scale scientific collaboration. The goal is to shift from individual or closed workflow-based research…
Paying to Know: Micro-Transaction Markets for Verified Product Information in Agentic E-Commerce
The authors propose a new model for e-commerce where buyers use micro-payments to access detailed, verified information about products from sellers and reviewers. This model is designed for autonomous agent shoppers…
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