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20182023
most citedSoft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

3.7k citations · 6.5k across the 10 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.LG2020★ 5 cited

Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation

Aurick Zhou, Sergey Levine

While deep neural networks provide good performance for a range of challenging tasks, calibration and uncertainty estimation remain major challenges, especially under distribution…

cs.LG2020★ 538 cited

Conservative Q-Learning for Offline Reinforcement Learning

Aviral Kumar, Aurick Zhou, George Tucker +1

Effectively leveraging large, previously collected datasets in reinforcement learning (RL) is a key challenge for large-scale real-world applications. Offline RL algorithms promise…