Cover Image

A "good regulator theorem" for embodied agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Virgo, Nathaniel, Biehl, Martin, Baltieri, Manuel, Capucci, Matteo
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Bayesian Interpretation of the Internal Model Principle
by: Baltieri, Manuel, et al.
Published: (2025)

AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretability
by: Rosas, Fernando, et al.
Published: (2025)

Interpreting systems as solving POMDPs: a step towards a formal understanding of agency
by: Biehl, Martin, et al.
Published: (2022)

Towards provable probabilistic safety for scalable embodied AI systems
by: He, Linxuan, et al.
Published: (2025)

Navigating the sociotechnical labyrinth: Dynamic certification for responsible embodied AI
by: Bakirtzis, Georgios, et al.
Published: (2024)

Learning-based Multi-agent Race Strategies in Formula 1
by: Fieni, Giona, et al.
Published: (2026)

An agent design with goal reaching guarantees for enhancement of learning
by: Osinenko, Pavel, et al.
Published: (2024)

Facilitating Emergency Vehicle Passage in Congested Urban Areas Using Multi-agent Deep Reinforcement Learning
by: Su, Haoran
Published: (2025)

Fault Detection for agents on power grid topology optimization: A Comprehensive analysis
by: Lehna, Malte, et al.
Published: (2024)

Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework
by: Jia, Mengshuo, et al.
Published: (2024)

A Comparative Study of SMT and MILP for the Nurse Rostering Problem
by: Combrink, Alvin, et al.
Published: (2025)

Reinforcement Learning for Robust Ageing-Aware Control of Li-ion Battery Systems with Data-Driven Formal Verification
by: Coppola, Rudi, et al.
Published: (2025)

Interval Markov Decision Processes with Continuous Action-Spaces
by: Delimpaltadakis, Giannis, et al.
Published: (2022)

Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
by: Luo, Man, et al.
Published: (2022)

2-Level Reinforcement Learning for Ships on Inland Waterways: Path Planning and Following
by: Waltz, Martin, et al.
Published: (2023)

Optimal Output Feedback Learning Control for Discrete-Time Linear Quadratic Regulation
by: Xie, Kedi, et al.
Published: (2025)

Market-Oriented Flow Allocation for Thermal Solar Plants: An Auction-Based Methodology with Artificial Intelligence
by: Ruiz-Moreno, Sara, et al.
Published: (2025)

A Closed-loop, State-centric, Multi-agent Framework for Passenger Load Estimation from Heterogeneous Data Streams
by: Xu, Yiyao, et al.
Published: (2026)

Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
by: Saifullah, M., et al.
Published: (2024)

Prior preferences in active inference agents: soft, hard, and goal shaping
by: Torresan, Filippo, et al.
Published: (2025)

Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents
by: Lehna, Malte, et al.
Published: (2023)

Deep Reinforcement Learning for Multi-Objective Optimization: Enhancing Wind Turbine Energy Generation while Mitigating Noise Emissions
by: de Frutos, Martín, et al.
Published: (2024)

Distributionally robust minimization in meta-learning for system identification
by: Rufolo, Matteo, et al.
Published: (2025)

gridfm-datakit-v1: A Python Library for Scalable and Realistic Power Flow and Optimal Power Flow Data Generation
by: Puech, Alban, et al.
Published: (2025)

Message passing-based inference in an autoregressive active inference agent
by: Kouw, Wouter M., et al.
Published: (2025)

A novel agent with formal goal-reaching guarantees: an experimental study with a mobile robot
by: Yaremenko, Grigory, et al.
Published: (2024)

Promising and worth-to-try future directions for advancing state-of-the-art surrogates methods of agent-based models in social and health computational sciences
by: Elsheikh, Atiyah
Published: (2024)

Enhanced Transformer architecture for in-context learning of dynamical systems
by: Rufolo, Matteo, et al.
Published: (2024)

Formalising the intentional stance 2: a coinductive approach
by: McGregor, Simon, et al.
Published: (2025)

Formalising the intentional stance 1: attributing goals and beliefs to stochastic processes
by: McGregor, Simon, et al.
Published: (2024)

Synthetic data generation for system identification: leveraging knowledge transfer from similar systems
by: Piga, Dario, et al.
Published: (2024)

Nonlinear Control Allocation: A Learning Based Approach
by: Khan, Hafiz Zeeshan Iqbal, et al.
Published: (2022)

Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives
by: Gumbsch, Christian, et al.
Published: (2019)

A Context-Free Smart Grid Model Using Complex System Approach
by: Amor, Soufian Ben, et al.
Published: (2025)

Car-Following Models: A Multidisciplinary Review
by: Zhang, Tianya, et al.
Published: (2023)

A Systems-Theoretical Formalization of Closed Systems
by: Shadab, Niloofar, et al.
Published: (2023)

A Winner-Takes-All Mechanism for Event Generation
by: Huo, Yongkang, et al.
Published: (2025)

Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming
by: Bertsekas, Dimitri P.
Published: (2024)

KAPPS: A knowledge-based CPPS Architecture for the Circular Factory
by: Hoffmann, Etienne, et al.
Published: (2026)

TSViT: A Time Series Vision Transformer for Fault Diagnosis
by: Zhang, Shouhua, et al.
Published: (2023)