Jacob Beck and Risto Vuorio
TalkRL: The Reinforcement Learning Podcast
00:00
PPG Methods for Parameterized Policy Gradient
Mammal was kind of the prototypical algorithm in the PPG setting. You can add additional parameters to tune other than just the initialization. There's a whole family thing that build on Mammal, and the interloop is consistent between them. And then I guess the only one we haven't really touched on yet is task inference methods. The idea here is a little more nuanced, but meta learning considers a distribution of MDPs, also known as tasks.
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