Image de couverture de livre

Reframing the Expected Free Energy: Four Formulations and a Unification

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Champion, Théophile, Bowman, Howard, Marković, Dimitrije, Grześ, Marek
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning
par: Champion, Théophile, et autres
Publié: (2024)

A Message Passing Realization of Expected Free Energy Minimization
par: Nuijten, Wouter W. L., et autres
Publié: (2025)

Gradient-free variational learning with conditional mixture networks
par: Heins, Conor, et autres
Publié: (2024)

Theoretical Unification of the Fractured Aspects of Information
par: Schroeder, Marcin J.
Publié: (2024)

AI-Enhanced Deliberative Democracy and the Future of the Collective Will
par: Revel, Manon, et autres
Publié: (2025)

Cross-Temporal Attention Fusion (CTAF) for Multimodal Physiological Signals in Self-Supervised Learning
par: Khorasani, Arian, et autres
Publié: (2026)

Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques
par: Champion, Pierre
Publié: (2023)

Superposition with Delayed Unification
par: Bhayat, Ahmed, et autres
Publié: (2024)

The WHY in Business Processes: Unification of Causal Process Models
par: David, Yuval, et autres
Publié: (2025)

Reframing Tax Law Entailment as Analogical Reasoning
par: Zou, Xinrui, et autres
Publié: (2024)

AgentDevel: Reframing Self-Evolving LLM Agents as Release Engineering
par: Zhang, Di
Publié: (2026)

JSPLIT: A Taxonomy-based Solution for Prompt Bloating in Model Context Protocol
par: Antonioni, Emanuele, et autres
Publié: (2025)

Positive Text Reframing under Multi-strategy Optimization
par: Jia, Shutong, et autres
Publié: (2024)

Free Energy in a Circumplex Model of Emotion
par: Pattisapu, Candice, et autres
Publié: (2024)

Expected Utility Networks
par: La Mura, Pierfrancesco, et autres
Publié: (2013)

Complacent, Not Sycophantic: Reframing Large Language Models and Designing AI Literacy for Complacent Machines
par: Germani, Federico, et autres
Publié: (2026)

M$^3$: Reframing Training Measures for Discretized Physical Simulations
par: Mei, Yuan, et autres
Publié: (2026)

Order-Sorted Intensional Logic: Expressing Subtyping Polymorphism with Typing Assertions and Quantification over Concepts
par: Marković, Đorđe, et autres
Publié: (2025)

Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics
par: Blum, Carter, et autres
Publié: (2025)

ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
par: Yoon, Hee Suk, et autres
Publié: (2023)

Boosting MCTS with Free Energy Minimization
par: Dao, Mawaba Pascal, et autres
Publié: (2025)

Expected Work Search: Combining Win Rate and Proof Size Estimation
par: Randall, Owen, et autres
Publié: (2024)

Expected Value Alignment for Generative Reward Modeling in Formal Mathematics Verification
par: Ji, Shihao, et autres
Publié: (2026)

CloSe: A 3D Clothing Segmentation Dataset and Model
par: Antić, Dimitrije, et autres
Publié: (2024)

Multimodal Cognitive Reframing Therapy via Multi-hop Psychotherapeutic Reasoning
par: Kim, Subin, et autres
Publié: (2025)

Voice-Enabled AI Agents can Perform Common Scams
par: Fang, Richard, et autres
Publié: (2024)

The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm
par: Park, Giseung, et autres
Publié: (2024)

AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models
par: Heins, Conor, et autres
Publié: (2025)

HARP: Hesitation-Aware Reframing in Transformer Inference Pass
par: Storaï, Romain, et autres
Publié: (2024)

MIRROR: Multimodal Cognitive Reframing Therapy for Rolling with Resistance
par: Kim, Subin, et autres
Publié: (2025)

RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark
par: Shi, Yang, et autres
Publié: (2025)

p-less Sampling: A Robust Hyperparameter-Free Approach for LLM Decoding
par: Tan, Runyan, et autres
Publié: (2025)

Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
par: Zhan, Dawei
Publié: (2024)

Reframing the Mind-Body Picture: Applying Formal Systems to the Relationship of Mind and Matter
par: Williams, Ryan
Publié: (2024)

What If TSF: A Benchmark for Reframing Forecasting as Scenario-Guided Multimodal Forecasting
par: Jang, Jinkwan, et autres
Publié: (2026)

Exploring Task Unification in Graph Representation Learning via Generative Approach
par: Hu, Yulan, et autres
Publié: (2024)

Tutorial on the Probabilistic Unification of Estimation Theory, Machine Learning, and Generative AI
par: Elmusrati, Mohammed
Publié: (2025)

Valid Text-to-SQL Generation with Unification-based DeepStochLog
par: Jiao, Ying, et autres
Publié: (2025)

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
par: Sikchi, Harshit, et autres
Publié: (2023)

DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
par: Wang, Minzheng, et autres
Publié: (2024)