Critic-Driven Voronoi State Partitioning distills deep RL policies into piecewise-linear models by iteratively adding linear subpolicies in high-value-error regions identified by the critic.
Explaining a Deep Reinforcement Learning Dock- ing Agent Using Linear Model Trees with User Adapted Visualization
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Critic-Driven Voronoi-Quantization for Distilling Deep RL Policies to Explainable Models
Critic-Driven Voronoi State Partitioning distills deep RL policies into piecewise-linear models by iteratively adding linear subpolicies in high-value-error regions identified by the critic.