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Yuma Aoki

1 accepted papers

2023

Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators

ICML 2023poster

In model-based reinforcement learning (MBRL), policy gradients can be estimated either by derivative-free RL methods, such as likelihood ratio gradients (LR), or by backpropagating through a differentiable model via reparameterization gradients (RP). Instead of using one or the other, the Total Prop…

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