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20192026
most citedDeep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

2 citations · 4 across the 7 of their papers we have counts for

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cs.LG2019★ 2 cited

Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

Qi Zhou, Houqiang Li, Jie Wang

Model-based reinforcement learning algorithms tend to achieve higher sample efficiency than model-free methods. However, due to the inevitable errors of learned models, model-based…