A hybrid genetic algorithm with model transformations generates families of RL training environments, demonstrated for wildfire mitigation and curriculum learning.
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2026 2verdicts
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A SHAP analysis framework is introduced to decompose configuration impacts on RL generalization and guide selection for improved performance in robotics.
citing papers explorer
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A Model-Driven Approach for Developing Families of Reinforcement Learning Environments
A hybrid genetic algorithm with model transformations generates families of RL training environments, demonstrated for wildfire mitigation and curriculum learning.
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Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters
A SHAP analysis framework is introduced to decompose configuration impacts on RL generalization and guide selection for improved performance in robotics.