Yan Duan

activity

20162020

most citedRL

^{2}

: Fast Reinforcement Learning via Slow Reinforcement Learning

504 citations · 1.1k across the 7 of their papers we have counts for

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Showing 2016 · cs.AIShow all

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cs.AI2016★ 504 cited

RL $^{2}$ : Fast Reinforcement Learning via Slow Reinforcement Learning

Yan Duan, John Schulman, Xi Chen +3

Deep reinforcement learning (deep RL) has been successful in learning sophisticated behaviors automatically; however, the learning process requires a huge number of trials. In cont…

cs.AI2016

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

Haoran Tang, Rein Houthooft, Davis Foote +6

Count-based exploration algorithms are known to perform near-optimally when used in conjunction with tabular reinforcement learning (RL) methods for solving small discrete Markov d…

RL2: Fast Reinforcement Learning via Slow Reinforcement Learning

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

RL $^{2}$ : Fast Reinforcement Learning via Slow Reinforcement Learning