Copertina

Spatiotemporal Wildfire Prediction and Reinforcement Learning for Helitack Suppression

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mathur, Shaurya, Manjunath, Shreyas Bellary, Kulkarni, Nitin, Vereshchaka, Alina
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment
di: Kumar, Punit, et al.
Pubblicazione: (2026)

Rig-Aware 3D Reconstruction of Vehicle Undercarriages using Gaussian Splatting
di: Kulkarni, Nitin, et al.
Pubblicazione: (2026)

Predictive and Prescriptive AI toward Optimizing Wildfire Suppression
di: Boussioux, Leonard, et al.
Pubblicazione: (2026)

A Risk-Aware Reinforcement Learning Reward for Financial Trading
di: Srivastava, Uditansh, et al.
Pubblicazione: (2025)

JaxWildfire: A GPU-Accelerated Wildfire Simulator for Reinforcement Learning
di: Çakır, Ufuk, et al.
Pubblicazione: (2025)

Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learning
di: R, Shreyas S
Pubblicazione: (2024)

RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation
di: Pham, Dzung, et al.
Pubblicazione: (2023)

Leverage-Weighted Conformal Prediction
di: Fadnavis, Shreyas
Pubblicazione: (2026)

Predicting the Containment Time of California Wildfires Using Machine Learning
di: Bhardwaj, Shashank
Pubblicazione: (2025)

A Theory of Diversity for Random Matrices with Applications to In-Context Learning of Schrödinger Equations
di: Cole, Frank, et al.
Pubblicazione: (2026)

Explainable Machine Learning: An Illustration of Kolmogorov-Arnold Network Model for Airfoil Lift Prediction
di: Kulkarni, Sudhanva
Pubblicazione: (2025)

Explainable AI Integrated Feature Engineering for Wildfire Prediction
di: Fan, Di, et al.
Pubblicazione: (2024)

WildfireGenome: Interpretable Machine Learning Reveals Local Drivers of Wildfire Risk and Their Cross-County Variation
di: Liu, Chenyue, et al.
Pubblicazione: (2025)

Adversarial Robustness for Deep Learning-based Wildfire Prediction Models
di: Ide, Ryo, et al.
Pubblicazione: (2024)

Advanced Wildfire Prediction in Morocco: Developing a Deep Learning Dataset from Multisource Observations
di: Jadouli, Ayoub, et al.
Pubblicazione: (2024)

Neuroscience-Inspired Memory Replay for Continual Learning: A Comparative Study of Predictive Coding and Backpropagation-Based Strategies
di: Nalagatla, Goutham, et al.
Pubblicazione: (2025)

Advancing Wildfire Risk Prediction via Morphology-Aware Curriculum Contrastive Learning
di: Scudo, Fabrizio Lo, et al.
Pubblicazione: (2025)

Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing
di: V, Shreyas, et al.
Pubblicazione: (2024)

Fully Convolutional Spatiotemporal Learning for Microstructure Evolution Prediction
di: Trimboli, Michael, et al.
Pubblicazione: (2026)

Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs
di: Mo, Zhaobin, et al.
Pubblicazione: (2024)

Causal Graph Neural Networks for Wildfire Danger Prediction
di: Zhao, Shan, et al.
Pubblicazione: (2024)

Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction
di: Üstek, İrem, et al.
Pubblicazione: (2024)

Federated Ensemble-Directed Offline Reinforcement Learning
di: Rengarajan, Desik, et al.
Pubblicazione: (2023)

Two-Step Q-Learning
di: Vijesh, Antony, et al.
Pubblicazione: (2024)

Thermodynamics of Reinforcement Learning Curricula
di: Adamczyk, Jacob, et al.
Pubblicazione: (2026)

Environment-Adaptive Preference Optimization for Wildfire Prediction
di: Jiang, Enyi, et al.
Pubblicazione: (2026)

CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening
di: Kulkarni, Amar, et al.
Pubblicazione: (2024)

RDA: Reward Design Agent for Reinforcement Learning
di: Lee, Hojoon, et al.
Pubblicazione: (2026)

Deep Learning for Wildfire Risk Prediction: Integrating Remote Sensing and Environmental Data
di: Xu, Zhengsen, et al.
Pubblicazione: (2024)

DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries
di: Mehra, Ashman, et al.
Pubblicazione: (2023)

STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
di: Basavatia, Shreyas, et al.
Pubblicazione: (2024)

Hierarchical Physics-Embedded Learning for Prediction and Discovery in Spatiotemporal Dynamical Systems
di: Wang, Xizhe, et al.
Pubblicazione: (2025)

Adversarial Inception Backdoor Attacks against Reinforcement Learning
di: Rathbun, Ethan, et al.
Pubblicazione: (2024)

Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction
di: Mi, Yuan, et al.
Pubblicazione: (2024)

Explainable Global Wildfire Prediction Models using Graph Neural Networks
di: Chen, Dayou, et al.
Pubblicazione: (2024)

MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering
di: Verma, Vinay Kumar, et al.
Pubblicazione: (2025)

Which Rewards Matter? Reward Selection for Reinforcement Learning under Limited Feedback
di: Chaudhari, Shreyas, et al.
Pubblicazione: (2025)

A Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model
di: Yu, Wenbo, et al.
Pubblicazione: (2025)

SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning
di: Tan, Cheng, et al.
Pubblicazione: (2022)

Markovian Reeb Graphs for Simulating Spatiotemporal Patterns of Life
di: Subrahmanya, Anantajit, et al.
Pubblicazione: (2025)