Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

ICLR 2019 Yuping LuoHuazhe XuYuanzhi LiYuandong TianTrevor DarrellTengyu Ma

Model-based reinforcement learning (RL) is considered to be a promising approach to reduce the sample complexity that hinders model-free RL. However, the theoretical understanding of such methods has been rather limited... (read more)

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