mlsanityData to 14 Oct 2026

Wildfire Autonomous Response and Prediction Using Cellular Automata (WARP-CA)

arXiv 2407.02613 ↗First posted 2 Jul 2024cs.AI cs.MA cs.NEcited by 0

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Abstract (arXiv)

Wildfires pose a severe challenge to ecosystems and human settlements, exacerbated by climate change and environmental factors. Traditional wildfire modeling, while useful, often fails to adapt to the rapid dynamics of such events. This report introduces the (Wildfire Autonomous Response and Prediction Using Cellular Automata) WARP-CA model, a novel approach that integrates terrain generation using Perlin noise with the dynamism of Cellular Automata (CA) to simulate wildfire spread. We explore the potential of Multi-Agent Reinforcement Learning (MARL) to manage wildfires by simulating autonomous agents, such as UAVs and UGVs, within a collaborative framework. Our methodology combines world simulation techniques and investigates emergent behaviors in MARL, focusing on efficient wildfire suppression and considering critical environmental factors like wind patterns and terrain features.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 43 references that are in the map. First posted on arXiv 2 Jul 2024.

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3 of 43 references.

References · 3

  1. 2019Emergent Coordination Through Competitioncited by 57
  2. 2018Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimizationcited by 40
  3. 2022Collaborative Auto-Curricula Multi-Agent Reinforcement Learning with Graph Neural Network Communication Layer for Open-ended Wildfire-Management Resource Distributioncited by 3

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  1. 2025JaxWildfire: A GPU-Accelerated Wildfire Simulator for Reinforcement Learning
  2. 2024Advancing Forest Fire Prevention: Deep Reinforcement Learning for Effective Firebreak Placement
  3. 2025A Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model
  4. 2026Multi-Agent Reinforcement Learning for Autonomous UAV Exploration in Wildfire Response
  5. 2026Spatiotemporal Wildfire Prediction and Reinforcement Learning for Helitack Suppression
  6. 2023A generative model for surrogates of spatial-temporal wildfire nowcasting
  7. 2026Digital Twin and Agentic AI for Wild Fire Disaster Management: Intelligent Virtual Situation Room
  8. 2026FIRE-VLM: A Vision-Language-Driven Reinforcement Learning Framework for UAV Wildfire Tracking in a Physics-Grounded Fire Digital Twin