Jun 1, 2025 · We explore expected timelines for AI replacing programmers, identify perceived barriers to deployment, and examine beliefs about responsibility when agents make critical …

While single-agent RL provides a solid foundation for autonomous decision-making, many real-world scenarios involve multiple agents acting and learning simultaneously.

Jul 28, 2025 · We analyze the architectural and infrastructural challenges involved in creating scalable agentic systems, including communication protocols, orchestration strategies, and …

Sep 23, 2024 · To incorporate discovered causal relationships, we propose a novel Causal Attention Gating mechanism to selectively filter information in the proposed Transformer …

Mar 23, 2025 · These findings suggest that autonomous agents may play a role in designing future AI systems alongside humans. We hope that AgentRxiv allows agents to collaborate …

Apr 7, 2025 · This paper proposes a highly robust autonomous agent framework based on the ReAct paradigm, designed to solve complex tasks through adaptive decision making and multi …

Dec 4, 2025 · We introduce PARC, a coding agent for the autonomous and robust execution of long-horizon computational tasks. PARC is built on a hierarchical multi-agent architecture …

Mar 23, 2025 · In this study, we introduce AgentRxiv, an autonomous research collaboration framework that supports LLM agents in generating, sharing, and building upon scientific research.

Jan 24, 2025 · However, most existing autonomous defensive agents have overlooked the inherent graph structure of computer networks subject to cyber attacks, potentially missing …

Don't Shake the Wheel: Momentum-AwarePlanning in End-to-End Autonomous Driving. DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving. V2X - R: …