12 citations · 27 across the 7 of their papers we have counts for
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cs.AI2017
Shallow Updates for Deep Reinforcement Learning
Nir Levine, Tom Zahavy, Daniel J. Mankowitz +2
Deep reinforcement learning (DRL) methods such as the Deep Q-Network (DQN) have achieved state-of-the-art results in a variety of challenging, high-dimensional domains. This succes…
cs.AI2016
Deep Reinforcement Learning Discovers Internal Models
Nir Baram, Tom Zahavy, Shie Mannor
Deep Reinforcement Learning (DRL) is a trending field of research, showing great promise in challenging problems such as playing Atari, solving Go and controlling robots. While DRL…