Marginalized State Distribution Entropy Regularization in Policy Optimization
Entropy regularization is used to get improved optimization performance in reinforcement learning tasks. A common form of regularization is to maximize policy entropy to avoid premature convergence and lead to more stochastic policies for exploration through action space... (read more)
PDFTasks
Datasets
OpenAI Gym
MuJoCo
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Entropy Regularization
|
Regularization |