Variational Model-based Policy Optimization

9 Jun 2020Yinlam ChowBrandon CuiMoonKyung RyuMohammad Ghavamzadeh

Model-based reinforcement learning (RL) algorithms allow us to combine model-generated data with those collected from interaction with the real system in order to alleviate the data efficiency problem in RL. However, designing such algorithms is often challenging because the bias in simulated data may overshadow the ease of data generation... (read more)

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