发帖
雷达卡
Exploration in Approximate Hyper-State Space
for Meta Reinforcement Learning
Luisa Zintgraf 1 Leo Feng 2 Cong Lu 1 Maximilian Igl 1 Kristian Hartikainen 1
Katja Hofmann 3 Shimon Whiteson 1
Abstract
To rapidly learn a new task, it is often essential
for agents to explore efficiently – especially when
performance matters from the first timestep. One
way to learn such behaviour is via meta-learning.
Many existing methods h ...
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