20 citations · 57 across the 5 of their papers we have counts for
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cs.LG2022★ 20 cited
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning
Zhao Mandi, Pieter Abbeel, Stephen James
Intelligent agents should have the ability to leverage knowledge from previously learned tasks in order to learn new ones quickly and efficiently. Meta-learning approaches have eme…
cs.LG2019★ 8 cited
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations
Daniel Seita, David Chan, Roshan Rao +3
Learning from demonstrations is a popular tool for accelerating and reducing the exploration requirements of reinforcement learning. When providing expert demonstrations to human s…