arXiv:2607. 21209v1 Announce Type: cross Abstract: In the field of Artificial Intelligence, an agent is a system which is able to autonomously make decisions in order to reach a desired goal.
By Heather Merhout (Miami University), Daniela Inclezan (Miami University)
arXiv:2607. 11119v1 Announce Type: cross Abstract: Robot manipulation is a complex task that requires visual understanding, physical reasoning, planning, and closed-loop control.
By Hengyuan Hu, Priya Sundaresan, Jensen Gao, Dorsa Sadigh
arXiv:2607. 13655v1 Announce Type: new Abstract: Explainable Reinforcement Learning (XRL) seeks to make Reinforcement Learning (RL) policies more transparent and interpretable, a key requirement in safety-critical and human-centric scenarios.
By Celeste Veronese, Edoardo Zorzi, Daniele Meli, Alessandro Farinelli
arXiv:2610.08815v1 Announce Type: new
Abstract: Agentic AI-enabled automation cannot be safely deployed in high-stakes environments on probabilistic reasoning alone. A recurring risk is epistemic dri...
By Srini Ramaswamy, Deveeshree Nayak
arXiv:2607. 22609v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used for decision-making and reasoning tasks, yet their potential as controllers for physical systems remains largely unexplored.
By Aleksander {\O}stensen, Alberto Mino Calero, Anastasios M. Lekkas, Adil Rasheed
arXiv:2509.15959v2 Announce Type: replace-cross
Abstract: Autonomous navigation in maritime domains is accelerating alongside advances in artificial intelligence, sensing, and connectivity. Opaque de...
By Zhuoyue Zhang, Haitong Xu, Carlos Guedes Soares