163 citations · 200 across the 8 of their papers we have counts for
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stat.ML2016★ 27 cited
Model-based Adversarial Imitation Learning
Nir Baram, Oron Anschel, Shie Mannor
Generative adversarial learning is a popular new approach to training generative models which has been proven successful for other related problems as well. The general idea is to…
cs.AI2016★ 163 cited
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
Oron Anschel, Nir Baram, Nahum Shimkin
Instability and variability of Deep Reinforcement Learning (DRL) algorithms tend to adversely affect their performance. Averaged-DQN is a simple extension to the DQN algorithm, bas…