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Here, b is again the value estimatorVφtrained by fake rewards

is given by a straightforward replacement ofLvpg byLppo (p2) When combining PPO with the Option 2, we can also imitate the decomposition of (v2): (Loss) = ∑ i∈I wiLpI(ei)+ 1 N N∑ i=1 LpII(ei), where LpI :=Lppo[Rt−EGP [Rt]], LpII :=Lppo[EGP · 2017

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Policy Gradient with Kernel Quadrature

cs.LG · 2023-10-23 · unverdicted · novelty 6.0

Episodic kernel quadrature compresses batches of episodes via GP-modeled returns to enable efficient policy gradient updates without evaluating rewards on every sample.

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  • Policy Gradient with Kernel Quadrature cs.LG · 2023-10-23 · unverdicted · none · ref 12

    Episodic kernel quadrature compresses batches of episodes via GP-modeled returns to enable efficient policy gradient updates without evaluating rewards on every sample.