Episodic kernel quadrature compresses batches of episodes via GP-modeled returns to enable efficient policy gradient updates without evaluating rewards on every sample.
SOBER: Highly parallel Bayesian optimization and bayesian quadrature over discrete and mixed spaces
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Policy Gradient with Kernel Quadrature
Episodic kernel quadrature compresses batches of episodes via GP-modeled returns to enable efficient policy gradient updates without evaluating rewards on every sample.