29 citations · 107 across the 28 of their papers we have counts for
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cs.LG2019★ 29 cited
Meta-Q-Learning
Rasool Fakoor, Pratik Chaudhari, Stefano Soatto +1
This paper introduces Meta-Q-Learning (MQL), a new off-policy algorithm for meta-Reinforcement Learning (meta-RL). MQL builds upon three simple ideas. First, we show that Q-learnin…
cs.LG2019★ 4 cited
P3O: Policy-on Policy-off Policy Optimization
Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
On-policy reinforcement learning (RL) algorithms have high sample complexity while off-policy algorithms are difficult to tune. Merging the two holds the promise to develop efficie…