Imagen de Portada

Distributionally Robust Free Energy Principle for Decision-Making

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shafiei, Allahkaram, Jesawada, Hozefa, Friston, Karl, Russo, Giovanni
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Systems and Control Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learning-Based Robust Control: Unifying Exploration and Distributional Robustness for Reliable Robotics via Free Energy
por: Jesawada, Hozefa, et al.
Publicado: (2026)

Trilevel and Multilevel Optimization using Monotone Operator Theory
por: Shafiei, Allahkaram, et al.
Publicado: (2021)

On Convex Data-Driven Inverse Optimal Control for Nonlinear, Non-stationary and Stochastic Systems
por: Garrabe, Emiland, et al.
Publicado: (2023)

Neural Policy Composition from Free Energy Minimization
por: Rossi, Francesca, et al.
Publicado: (2025)

DR-PETS: Learning-Based Control With Planning in Adversarial Environments
por: Jesawada, Hozefa, et al.
Publicado: (2025)

Time-Varying Multi-Objective Optimization: Tradeoff Regret Bounds
por: Shafiei, Allahkaram, et al.
Publicado: (2022)

Resource-Aware Distributed Submodular Maximization: A Paradigm for Multi-Robot Decision-Making
por: Xu, Zirui, et al.
Publicado: (2022)

Distributionally Robust Control with End-to-End Statistically Guaranteed Metric Learning
por: Wu, Jingyi, et al.
Publicado: (2025)

Free-Gate: Planning, Control And Policy Composition via Free Energy Gating
por: Rossi, Francesca, et al.
Publicado: (2024)

Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers
por: Buyuktahtakin, I. Esra
Publicado: (2026)

Free-Energy Minimizing Policies Under Generative Model Ambiguity
por: Shafiei, Arash, et al.
Publicado: (2026)

Differentiable Distributionally Robust Optimization Layers
por: Ma, Xutao, et al.
Publicado: (2024)

From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making
por: Asru, Avijit Saha, et al.
Publicado: (2025)

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

Energy Management for Renewable-Colocated Artificial Intelligence Data Centers
por: Li, Siying, et al.
Publicado: (2025)

Human-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiency
por: Liang, Xinyu, et al.
Publicado: (2025)

Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning
por: Liu, Changrui, et al.
Publicado: (2025)

Safety-Aware Reinforcement Learning for Electric Vehicle Charging Station Management in Distribution Network
por: Fan, Jiarong, et al.
Publicado: (2024)

Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming
por: Bai, Ningwei, et al.
Publicado: (2025)

Distributed Optimization via Energy Conservation Laws in Dilated Coordinates
por: Baranwal, Mayank, et al.
Publicado: (2024)

Distributionally Robust Safety Verification of Neural Networks via Worst-Case CVaR
por: Kishida, Masako
Publicado: (2025)

Agent-Based Decentralized Energy Management of EV Charging Station with Solar Photovoltaics via Multi-Agent Reinforcement Learning
por: Fan, Jiarong, et al.
Publicado: (2025)

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

Graphon Particle Systems, Part II: Dynamics of Distributed Stochastic Continuum Optimization
por: Chen, Yan, et al.
Publicado: (2024)

Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU
por: Fang, Jeffrey, et al.
Publicado: (2026)

OPO: Making Decision-Focused Data Acquisition Decisions
por: Peršak, Egon, et al.
Publicado: (2025)

Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
por: Islam, MD Shafikul, et al.
Publicado: (2023)

Revealing Decision Conservativeness Through Inverse Distributionally Robust Optimization
por: Li, Qi, et al.
Publicado: (2024)

Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks
por: Xu, Zirui, et al.
Publicado: (2024)

Distributional Uncertainty and Adaptive Decision-Making in System Co-design
por: Huang, Yujun, et al.
Publicado: (2026)

Towards a constructive framework for control theory
por: Osinenko, Pavel
Publicado: (2025)

Large Language Model-Assisted Planning of Electric Vehicle Charging Infrastructure with Real-World Case Study
por: Zheng, Xinda, et al.
Publicado: (2025)

Remarks on the Polyak-Lojasiewicz inequality and the convergence of gradient systems
por: de Oliveira, Arthur Castello B., et al.
Publicado: (2025)

Using Laplace Transform To Optimize the Hallucination of Generation Models
por: Kang, Cheng, et al.
Publicado: (2026)

Safe Control and Learning Using Generalized Action Governor
por: Fang, Peiyuan, et al.
Publicado: (2022)

Safe Decentralized Operation of EV Virtual Power Plant with Limited Network Visibility via Multi-Agent Reinforcement Learning
por: Huang, Chenghao, et al.
Publicado: (2026)

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

Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization
por: Adams, Katherine B., et al.
Publicado: (2023)

Intent-aligned Autonomous Spacecraft Guidance via Reasoning Models
por: Takubo, Yuji, et al.
Publicado: (2026)

Beyond the Bellman Fixed Point: Geometry and Fast Policy Identification in Value Iteration
por: Lee, Donghwan
Publicado: (2026)