ASCII-ME replaces actor-critic updates in policy-gradient MAP-Elites with reward-weighted interpolation between action sequences, mapped to policy parameters through a Jacobian, enabling fast GPU-parallel quality-diversity.
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Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations
ASCII-ME replaces actor-critic updates in policy-gradient MAP-Elites with reward-weighted interpolation between action sequences, mapped to policy parameters through a Jacobian, enabling fast GPU-parallel quality-diversity.