Active Inference

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4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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Benchmarking Generative Trajectory Models for Active-Inference Control
Oct 5, 2026Yulin Li, Mohsen A. Jafari, Andrea MattaActive Inference Generative Modeling
Rutgers University–New Brunswick, Piscataway NJ 08854, USA · Politecnico di Milano, Via La Masa 1, 20156 Milano, Italy
Belief-Based Maximum Occupancy Principle and Active Inference
Sep 30, 2026Manolis Mylonas, Rubén Moreno BoteBelief-Space Planning Intrinsic Reward Methods
Center for Brain and Cognition & Department of Engineering Universitat Pompeu Fabra Barcelona, Spain
Embodiment-aware control by inference over the operator: a simulation study
Sep 29, 2026Sara FalconeActive Inference Robot Teleoperation
Department of Computer Science, Seidenberg School of Computer Science and Information Systems, Pace University, New York, USA
Exact Fusion and Coordinated Exploration in Multi-Robot Active Inference
Sep 15, 2026Peng Wu, Mohsen Imani, Amidu Kamara +3Active Inference Multi-Robot Exploration
Northeastern University, Boston, MA, USA. · University of California, Irvine, CA, USA. · U.S. Department of Homeland Security, Washington, DC, USA. +1
Sensory Precision Inference for Multimodal Arbitration under Uncertainty
Sep 14, 2026Tin Mišić, Takato HoriiMultimodal Robustness Active Inference
The University of Osaka, Japan · IRCN, The University of Tokyo, Japan
Renormalising Generative Models for Active Inference: Foundations, Derivations, and Verification
Aug 10, 2026Karim Zaghw, Andrew Pashea, Marc Pritsch +3Active Inference Generative Modeling
University of Tübingen, Tübingen, Germany · Division of the Social Sciences, University of Chicago, Chicago, IL, USA · Heidelberg University, Heidelberg, Germany +3
Interoceptive Attention as Dynamic Homeostatic Prioritization in a Foraging Agent
Aug 4, 2026St John Grimbly, Nicolas Kuske, Evert A. Boonstra +7Adaptive Inference Active Inference
Dept. of Mathematics & Applied Mathematics, Univ. of Cape Town, South Africa · Neuroscience Institute, Univ. of Cape Town, South Africa · MIND Institute and CSAM, University of the Witwatersrand, South Africa +3
The Bayesian Reflex: A Predictive Coding Engine for Artificial Intelligence
Aug 1, 2026Sourabh BhattacharyaAdaptive Inference Predictive Coding
Interdisciplinary Statistical Research Unit Indian Statistical Institute, Kolkata
Perspective Latents as an Architectural Condition for Causal Emergence in Active Inference Agents
Jul 22, 2026Hongju PaeActive Inference
Active Inference Institute, Crescent City, CA, USA
Active Inference as a Convex Markov Decision Process
Jul 22, 2026Nikola Milosevic, Nicolás Hinrichs, Nico ScherfMarkov Decision Processes Reinforcement Learning
Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany
Sophisticated Policies from Epistemic Priors
Jul 21, 2026Wouter W. L. Nuijten, Bert de VriesActive Inference Feedback Control
Eindhoven University of Technology, 5612 AP Eindhoven, the Netherlands · Lazy Dynamics, Utrecht, the Netherlands
Expected Free Energy as Belief-Dependent Utility for rho-POMDPs
Jul 18, 2026Patrick Cooper, Alvaro VelasquezFree Energy Calculation Active Inference
Department of Computer Science, University of Colorado Boulder, Boulder, CO, USA
The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models
Jul 15, 2026Fabio Arnez, Alexandra Gomez-VillaWorld Model Learning Active Inference
Université Paris-Saclay, CEA, List F-91120, Palaiseau, France · Computer Vision Center Barcelona, Spain
Active Inference as the Test-Time Scaling Law for Physical AI Agents
Jun 22, 2026Omar Hashash, Christo Kurisummoottil Thomas, Walid Saad +3Active Inference Inference-Time Scaling
Bradley Department of Electrical and Computer Engineering and the Institute for Advanced Computing, Virginia Tech, Alexandria, VA, USA · Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA · Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates +4
Free Energy Heuristics: Fast-And-Frugal Cognition as Active Inference Under Uncertain Precision
Jun 14, 2026Alex BogdanCognitive Modeling Active Inference
Evolutionairy AI Toronto, Canada
Expected Free Energy-based Planning as Variational Inference
Jun 9, 2026Wouter W. L. Nuijten, Thijs van de Laar, Bert de VriesFree Energy Calculation Active Inference
Eindhoven University of Technology, Eindhoven, the Netherlands · Lazy Dynamics B.V., the Netherlands
Belief-Space Control for Personalized Cancer Treatment via Active Inference
Jun 9, 2026Deniz Sargun, H. Bugra Tulay, C. Emre KoksalBelief-Space Planning Healthcare
Amazon.com Inc. Palo Alto, CA · HP Inc. Denver, CO · The Ohio State University Columbus, OH
What Type of Inference is Active Inference?
Jun 3, 2026Wouter W. L. Nuijten, Mykola Lukashchuk, Thijs van de Laar +1Active Inference Free Energy Principle
Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands · Lazy Dynamics, Utrecht, the Netherlands
Active Inference for Adaptive Traffic Signal Control in Noisy Nonstationary IoT Environments
May 31, 2026Dénes Toth, George Ambroladze, Edwin Sundberg +2Intelligent Transportation Systems Active Inference
Department of Computer Systems and Sciences, Stockholm University, Stockholm 164 25, Sweden
Learning U-Statistics with Active Inference
May 12, 2026Xiaoning Wang, Yuyang Huo, Liuhua Peng +1Active Inference Active Learning
School of Statistics and Data Sciences, LPMC, KLM-DASR and LEBPS, Nankai University, Tianjin, China · School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia
Dynamic Representational Synchrony through Collective Predictive Coding: A Computational Model of Parent-Infant Homeostatic Co-Regulation
May 8, 2026Yushi Tsubamoto, Takato HoriiComputational Cognitive Modeling Predictive Coding
Graduate School of Medicine The University of Osaka 565-0871, Yamadaoka, Suita, Osaka · Graduate School of Engineering Science The University of Osaka 560-0043, Machikaneyama, Toyonaka Osaka
Flying by Inference: Active Inference World Models for Adaptive UAV Swarms
Apr 30, 2026Kaleem Arshid, Ali Krayani, Lucio Marcenaro +2Multi-Robot Motion Planning World Models for Robotics
Department of Engineering and Naval Architecture (DITEN), University of Genoa, 16145 Genoa, Italy · Intelligent Systems Laboratory, Department of Systems Engineering and Automation, Carlos III University of Madrid, 28911 Legan´es, Spain
Active Inference: A method for Phenotyping Agency in AI systems?
Apr 25, 2026Philip Wilson, Axel Constant, Mahault Albarracin +4Active Inference AI Governance
Independent Researcher · Department of Engineering and Informatics, University of Sussex, Falmer, Brighton, BN1 9RH, UK · Laboratoire d’Analyse Cognitive de l’Information, Université du Québec à Montréal, Québec, Canada +4
Resolving space-sharing conflicts in road user interactions through uncertainty reduction: An active inference-based computational model
Apr 21, 2026Julian F. Schumann, Johan Engström, Ran Wei +3Collision Avoidance Intelligent Transportation Systems
Department of Cognitive Robotics, Delft University of Technology, Netherlands · Waymo LLC, Mountain View, CA, USA
Hierarchical Active Inference using Successor Representations
Apr 17, 2026Prashant Rangarajan, Rajesh P. N. RaoActive Inference Hierarchical RL
Paul G. Allen Center for Computer Science and Engineering, University of Washington, Seattle, USA
Resilient by Design -- Active Inference for Distributed Continuum Intelligence
Nov 10, 2025Praveen Kumar Donta, Alfreds Lapkovskis, Enzo Mingozzi +1Agent Reliability Active Inference
Department of Computer Systems and Sciences, Stockholm University, Stockholm 164 25, Sweden. · Department of Information Engineering, University of Pisa, Pisa, Italy. · Distributed Systems Group, TU Wien, Vienna 1040, Austria and ICREA Barcelona 08002, Spain
Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and Navigation
Oct 27, 2025Riko Yokozawa, Kentaro Fujii, Yuta Nomura +1Active Inference Robot Navigation
School of Integrated Design Engineering, Keio University, Yokohama, Kanagawa 223-8522, Japan
A memory-based active inference model of DishBrain-like adaptive behaviour
Aug 9, 2025Aswin Paul, Moein Khajehnejad, Forough Habibollahi +2Computational Cognitive Modeling Active Inference
Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton 3800, Australia · VERSES, Los Angeles, California, USA · Cortical Labs Pty Ltd, Melbourne 3056, Australia +1

Oct 5, 2026, cs.ROJ/K move · Enter open · S save

Benchmarking Generative Trajectory Models for Active-Inference Control

Yulin Li, Mohsen A. Jafari, Andrea Matta

Rutgers University–New Brunswick, Piscataway NJ 08854, USA · Politecnico di Milano, Via La Masa 1, 20156 Milano, Italy

Active Inference Generative Modeling Conditional Generative Modeling Diffusion Models

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Learning from trajectory demonstrations offers a route to active-inference control of complex systems whose dynamics are difficult to model explicitly. We introduce generative active-inference control (GenAIF), in which one generative trajectory model learns from demonstrations and measured action interventions to supply a goal-conditioned policy distribution and a state-to-observation likelihood mapping. From this control design, we derive three model requirements: (i) useful action proposals, (ii) accurate prediction under imposed actions, and (iii) probabilistic observation evidence for belief updating and expected information gain. We benchmark diffusion, autoregressive Transformers, conditional variational autoencoders (CVAEs), and flow matching in a MuJoCo manipulation task with multiple physical conditions. Diffusion delivers the strongest control across the tested dynamics, while CVAE combines comparable short-horizon prediction with much faster inference. Correct conditioning is decisive, and trajectory reuse offers further computational savings. In replay after an unannounced tilt change, pretrained diffusion updates belief fastest among the original models; fine-tuning on recovery demonstrations further accelerates identification and sustains accurate tracking. These findings support the use of shared generative trajectory models to connect action proposal, controlled prediction, and observation evidence within GenAIF.

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