Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control
Fuente:
arXiv
Guardado en:
| Autores principales: | An, Zhiyu, Ding, Xianzhong, Du, Wan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Safe and Data-efficient Model-based Reinforcement Learning System for HVAC Control
por: Ding, Xianzhong, et al.
Publicado: (2024)
por: Ding, Xianzhong, et al.
Publicado: (2024)
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning
por: Bekal, Gautham Udayakumar, et al.
Publicado: (2025)
por: Bekal, Gautham Udayakumar, et al.
Publicado: (2025)
Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning
por: Deng, Yang, et al.
Publicado: (2025)
por: Deng, Yang, et al.
Publicado: (2025)
Model-Free Learning and Optimal Policy Design in Multi-Agent MDPs Under Probabilistic Agent Dropout
por: Fiscko, Carmel, et al.
Publicado: (2023)
por: Fiscko, Carmel, et al.
Publicado: (2023)
From Explainability to Interpretability: Interpretable Policies in Reinforcement Learning Via Model Explanation
por: Li, Peilang, et al.
Publicado: (2025)
por: Li, Peilang, et al.
Publicado: (2025)
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates
por: Mandal, Udayan, et al.
Publicado: (2024)
por: Mandal, Udayan, et al.
Publicado: (2024)
From Black-Box to White-Box: Control-Theoretic Neural Network Interpretability
por: Moon, Jihoon
Publicado: (2025)
por: Moon, Jihoon
Publicado: (2025)
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
por: Covone, Stefano, et al.
Publicado: (2025)
por: Covone, Stefano, et al.
Publicado: (2025)
An Optimal Policy for Learning Controllable Dynamics by Exploration
por: Loxley, Peter N.
Publicado: (2025)
por: Loxley, Peter N.
Publicado: (2025)
Bridging Control with Neural Network Verifier alpha-beta-CROWN: A Tutorial
por: Li, Haoyu, et al.
Publicado: (2026)
por: Li, Haoyu, et al.
Publicado: (2026)
Epidemic Control on a Large-Scale-Agent-Based Epidemiology Model using Deep Deterministic Policy Gradient
por: Deshkar, Gaurav, et al.
Publicado: (2023)
por: Deshkar, Gaurav, et al.
Publicado: (2023)
Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies
por: Madahi, Seyed Soroush Karimi, et al.
Publicado: (2024)
por: Madahi, Seyed Soroush Karimi, et al.
Publicado: (2024)
Go-Explore for Residential Energy Management
por: Lu, Junlin, et al.
Publicado: (2024)
por: Lu, Junlin, et al.
Publicado: (2024)
Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations
por: Mukherjee, Sayak, et al.
Publicado: (2023)
por: Mukherjee, Sayak, et al.
Publicado: (2023)
The Smart Buildings Control Suite: A Diverse Open Source Benchmark to Evaluate and Scale HVAC Control Policies for Sustainability
por: Goldfeder, Judah, et al.
Publicado: (2024)
por: Goldfeder, Judah, et al.
Publicado: (2024)
HVAC-DPT: A Decision Pretrained Transformer for HVAC Control
por: Berkes, Anaïs
Publicado: (2024)
por: Berkes, Anaïs
Publicado: (2024)
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
por: Wang, Xuefeng, et al.
Publicado: (2024)
por: Wang, Xuefeng, et al.
Publicado: (2024)
ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise
por: Guo, Xingang, et al.
Publicado: (2024)
por: Guo, Xingang, et al.
Publicado: (2024)
Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
por: Urgun, Dogan, et al.
Publicado: (2026)
por: Urgun, Dogan, et al.
Publicado: (2026)
A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design
por: Shin, Hyo-Sang, et al.
Publicado: (2019)
por: Shin, Hyo-Sang, et al.
Publicado: (2019)
Scalable and Interpretable Verification of Image-based Neural Network Controllers for Autonomous Vehicles
por: Parameshwaran, Aditya, et al.
Publicado: (2025)
por: Parameshwaran, Aditya, et al.
Publicado: (2025)
Thinking Beyond Visibility: A Near-Optimal Policy Framework for Locally Interdependent Multi-Agent MDPs
por: DeWeese, Alex, et al.
Publicado: (2025)
por: DeWeese, Alex, et al.
Publicado: (2025)
HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
por: Zhang, Ziyan, et al.
Publicado: (2026)
por: Zhang, Ziyan, et al.
Publicado: (2026)
Interacting Large Language Model Agents. Interpretable Models and Social Learning
por: Jain, Adit, et al.
Publicado: (2024)
por: Jain, Adit, et al.
Publicado: (2024)
SOLIS: Physics-Informed Learning of Interpretable Neural Surrogates for Nonlinear Systems
por: Mansur, Murat Furkan, et al.
Publicado: (2026)
por: Mansur, Murat Furkan, et al.
Publicado: (2026)
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
por: Jin, Ming
Publicado: (2024)
por: Jin, Ming
Publicado: (2024)
Balancing Specialization and Centralization: A Multi-Agent Reinforcement Learning Benchmark for Sequential Industrial Control
por: Maus, Tom, et al.
Publicado: (2025)
por: Maus, Tom, et al.
Publicado: (2025)
Revisiting LQR Control from the Perspective of Receding-Horizon Policy Gradient
por: Zhang, Xiangyuan, et al.
Publicado: (2023)
por: Zhang, Xiangyuan, et al.
Publicado: (2023)
Scaling Learning based Policy Optimization for Temporal Logic Tasks by Controller Network Dropout
por: Hashemi, Navid, et al.
Publicado: (2024)
por: Hashemi, Navid, et al.
Publicado: (2024)
Data-driven HVAC Control Using Symbolic Regression: Design and Implementation
por: Ozawa, Yuki, et al.
Publicado: (2023)
por: Ozawa, Yuki, et al.
Publicado: (2023)
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
por: Razin, Noam, et al.
Publicado: (2024)
por: Razin, Noam, et al.
Publicado: (2024)
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
por: Wang, Yanran, et al.
Publicado: (2023)
por: Wang, Yanran, et al.
Publicado: (2023)
1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization
por: Azeem, Muqsit, et al.
Publicado: (2024)
por: Azeem, Muqsit, et al.
Publicado: (2024)
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
por: Bai, Qinbo, et al.
Publicado: (2021)
por: Bai, Qinbo, et al.
Publicado: (2021)
CORL: Reinforcement Learning of MILP Policies Solved via Branch and Bound
por: Anand, Akhil S, et al.
Publicado: (2025)
por: Anand, Akhil S, et al.
Publicado: (2025)
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
por: Chen, Hanyang, et al.
Publicado: (2024)
por: Chen, Hanyang, et al.
Publicado: (2024)
Shape-Interpretable Visual Self-Modeling Enables Geometry-Aware Continuum Robot Control
por: Yu, Peng, et al.
Publicado: (2026)
por: Yu, Peng, et al.
Publicado: (2026)
Interpretable Event Diagnosis in Water Distribution Networks
por: Artelt, André, et al.
Publicado: (2025)
por: Artelt, André, et al.
Publicado: (2025)
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
por: Paolo, Giuseppe, et al.
Publicado: (2025)
por: Paolo, Giuseppe, et al.
Publicado: (2025)
Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Data
por: Liang, Tongyi, et al.
Publicado: (2024)
por: Liang, Tongyi, et al.
Publicado: (2024)
Ejemplares similares
-
A Safe and Data-efficient Model-based Reinforcement Learning System for HVAC Control
por: Ding, Xianzhong, et al.
Publicado: (2024) -
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer Learning
por: Bekal, Gautham Udayakumar, et al.
Publicado: (2025) -
Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning
por: Deng, Yang, et al.
Publicado: (2025) -
Model-Free Learning and Optimal Policy Design in Multi-Agent MDPs Under Probabilistic Agent Dropout
por: Fiscko, Carmel, et al.
Publicado: (2023) -
From Explainability to Interpretability: Interpretable Policies in Reinforcement Learning Via Model Explanation
por: Li, Peilang, et al.
Publicado: (2025)