113 citations · 242 across the 6 of their papers we have counts for
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cs.LG2019★ 113 cited
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner, Justin Fu, Marvin Zhang +1
Designing effective model-based reinforcement learning algorithms is difficult because the ease of data generation must be weighed against the bias of model-generated data. In this…
cs.LG2015★ 8 cited
Learning Deep Neural Network Policies with Continuous Memory States
Marvin Zhang, Zoe McCarthy, Chelsea Finn +2
Policy learning for partially observed control tasks requires policies that can remember salient information from past observations. In this paper, we present a method for learning…