Grower-in-the-Loop Interactive Reinforcement Learning for Greenhouse Climate Control
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Xiao, Maxiu, Lan, Jianglin, Yu, Jingxin, Ma, Weihong, Xie, Qiuju, Sun, Congcong |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Efficient model predictive control for nonlinear systems modelled by deep neural networks
par: Lan, Jianglin
Publié: (2024)
par: Lan, Jianglin
Publié: (2024)
Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning
par: Ding, Jianglin, et autres
Publié: (2025)
par: Ding, Jianglin, et autres
Publié: (2025)
A Teacher-Student MPC-PPO Coupled Reinforcement Learning Framework for Winter Temperature Control of Solar Greenhouses in Northern China
par: Yu, Jingxin, et autres
Publié: (2025)
par: Yu, Jingxin, et autres
Publié: (2025)
Value Mirror Descent for Reinforcement Learning
par: Jia, Zhichao, et autres
Publié: (2026)
par: Jia, Zhichao, et autres
Publié: (2026)
Verifying Closed-Loop Contractivity of Learning-Based Controllers via Partitioning
par: Davydov, Alexander
Publié: (2025)
par: Davydov, Alexander
Publié: (2025)
Reinforcement Learning and Regret Bounds for Admission Control
par: Weber, Lucas, et autres
Publié: (2024)
par: Weber, Lucas, et autres
Publié: (2024)
Memory-Reduced Meta-Learning with Guaranteed Convergence
par: Yang, Honglin, et autres
Publié: (2024)
par: Yang, Honglin, et autres
Publié: (2024)
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems
par: Zhang, Jiawei, et autres
Publié: (2020)
par: Zhang, Jiawei, et autres
Publié: (2020)
Extensions of Robbins-Siegmund Theorem with Applications in Reinforcement Learning
par: Liu, Xinyu, et autres
Publié: (2025)
par: Liu, Xinyu, et autres
Publié: (2025)
A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise
par: Zhan, Jingxin, et autres
Publié: (2025)
par: Zhan, Jingxin, et autres
Publié: (2025)
Efficient Interaction-Aware Interval Analysis of Neural Network Feedback Loops
par: Jafarpour, Saber, et autres
Publié: (2023)
par: Jafarpour, Saber, et autres
Publié: (2023)
Multi-Agent Reinforcement Learning for Joint Police Patrol and Dispatch
par: Repasky, Matthew, et autres
Publié: (2024)
par: Repasky, Matthew, et autres
Publié: (2024)
Residuals-based Offline Reinforcement Learning
par: Zhu, Qing, et autres
Publié: (2026)
par: Zhu, Qing, et autres
Publié: (2026)
Reinforcement Learning for a Discrete-Time Linear-Quadratic Control Problem with an Application
par: Li, Lucky
Publié: (2024)
par: Li, Lucky
Publié: (2024)
Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management
par: Meng, Huiling, et autres
Publié: (2024)
par: Meng, Huiling, et autres
Publié: (2024)
Heat Death of Generative Models in Closed-Loop Learning
par: Marchi, Matteo, et autres
Publié: (2024)
par: Marchi, Matteo, et autres
Publié: (2024)
Online Learning for Supervisory Switching Control
par: Sun, Haoyuan, et autres
Publié: (2026)
par: Sun, Haoyuan, et autres
Publié: (2026)
Almost Sure Convergence Rates and Concentration of Stochastic Approximation and Reinforcement Learning with Markovian Noise
par: Qian, Xiaochi, et autres
Publié: (2024)
par: Qian, Xiaochi, et autres
Publié: (2024)
Almost Sure Convergence Rates of Stochastic Approximation and Reinforcement Learning via a Poisson-Moreau Drift
par: Liu, Xinyu, et autres
Publié: (2026)
par: Liu, Xinyu, et autres
Publié: (2026)
Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control
par: Hua, Chengxiu, et autres
Publié: (2025)
par: Hua, Chengxiu, et autres
Publié: (2025)
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning
par: Zeng, Sihan, et autres
Publié: (2021)
par: Zeng, Sihan, et autres
Publié: (2021)
Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
par: Jiang, Jinyang, et autres
Publié: (2025)
par: Jiang, Jinyang, et autres
Publié: (2025)
Reinforcement Learning-based Control via Y-wise Affine Neural Networks (YANNs)
par: Braniff, Austin, et autres
Publié: (2025)
par: Braniff, Austin, et autres
Publié: (2025)
Fill-and-Spill: Deep Reinforcement Learning Policy Gradient Methods for Reservoir Operation Decision and Control
par: Tabas, Sadegh Sadeghi, et autres
Publié: (2024)
par: Tabas, Sadegh Sadeghi, et autres
Publié: (2024)
MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
par: Lu, Yiwen, et autres
Publié: (2023)
par: Lu, Yiwen, et autres
Publié: (2023)
Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning
par: Ma, Chaolun, et autres
Publié: (2022)
par: Ma, Chaolun, et autres
Publié: (2022)
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
par: Xiao, Minheng, et autres
Publié: (2024)
par: Xiao, Minheng, et autres
Publié: (2024)
Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control
par: Ng, Max T. M., et autres
Publié: (2025)
par: Ng, Max T. M., et autres
Publié: (2025)
Precise Insulin Delivery for Artificial Pancreas: A Reinforcement Learning Optimized Adaptive Fuzzy Control Approach
par: Mameche, Omar, et autres
Publié: (2025)
par: Mameche, Omar, et autres
Publié: (2025)
Risk-Aware Safe Reinforcement Learning for Control of Stochastic Linear Systems
par: Esmaeili, Babak, et autres
Publié: (2025)
par: Esmaeili, Babak, et autres
Publié: (2025)
Admission Control of Quasi-Reversible Queueing Systems: Optimization and Reinforcement Learning
par: Comte, Céline, et autres
Publié: (2025)
par: Comte, Céline, et autres
Publié: (2025)
Resilient Constrained Reinforcement Learning
par: Ding, Dongsheng, et autres
Publié: (2023)
par: Ding, Dongsheng, et autres
Publié: (2023)
Improved Regret Bound for Safe Reinforcement Learning via Tighter Cost Pessimism and Reward Optimism
par: Yu, Kihyun, et autres
Publié: (2024)
par: Yu, Kihyun, et autres
Publié: (2024)
A Pontryagin Perspective on Reinforcement Learning
par: Eberhard, Onno, et autres
Publié: (2024)
par: Eberhard, Onno, et autres
Publié: (2024)
Foundations of Multivariate Distributional Reinforcement Learning
par: Wiltzer, Harley, et autres
Publié: (2024)
par: Wiltzer, Harley, et autres
Publié: (2024)
Operator World Models for Reinforcement Learning
par: Novelli, Pietro, et autres
Publié: (2024)
par: Novelli, Pietro, et autres
Publié: (2024)
Projection-Free Functional Constrained Optimization for Risk Aversion and Sparsity Control
par: Cheng, Yi, et autres
Publié: (2022)
par: Cheng, Yi, et autres
Publié: (2022)
Reinforcement Learning-based Control via Y-wise Affine Neural Networks: Comparative Case Studies for Chemical Processes
par: Braniff, Austin, et autres
Publié: (2026)
par: Braniff, Austin, et autres
Publié: (2026)
On the Foundation of Distributionally Robust Reinforcement Learning
par: Wang, Shengbo, et autres
Publié: (2023)
par: Wang, Shengbo, et autres
Publié: (2023)
Tail Distribution of Regret in Optimistic Reinforcement Learning
par: Khodadadian, Sajad, et autres
Publié: (2025)
par: Khodadadian, Sajad, et autres
Publié: (2025)
Documents similaires
-
Efficient model predictive control for nonlinear systems modelled by deep neural networks
par: Lan, Jianglin
Publié: (2024) -
Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning
par: Ding, Jianglin, et autres
Publié: (2025) -
A Teacher-Student MPC-PPO Coupled Reinforcement Learning Framework for Winter Temperature Control of Solar Greenhouses in Northern China
par: Yu, Jingxin, et autres
Publié: (2025) -
Value Mirror Descent for Reinforcement Learning
par: Jia, Zhichao, et autres
Publié: (2026) -
Verifying Closed-Loop Contractivity of Learning-Based Controllers via Partitioning
par: Davydov, Alexander
Publié: (2025)