Re:Meta-Reinforcement Learning
by ReDeiPirati on Wednesday March 27, 2019 @02:46PM
(#19504495)
we already know that deep RL is sample inefficient... is meta-RL really useful for something not trivial? This seems rather silly.
[ Parent
| on HN ]
The first applications appear really simple because they illustrate cognitive abilities that imitate planning/model-based RL related to neuroscience/psychology.
It doesn't mean that meta-RL won't scale up with more computation (see http://www.incompleteideas.net/IncIdeas/BitterLesson.html).