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Found 2 papers, 2 papers with code
Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments
Climate change has resulted in a year over year increase in adverse weather and weather conditions which contribute to increasingly severe fire seasons.
Utilizing Explainability Techniques for Reinforcement Learning Model Assurance
Explainable Reinforcement Learning (XRL) can provide transparency into the decision-making process of a Deep Reinforcement Learning (DRL) model and increase user trust and adoption in real-world use cases.
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