Efficient transfer learning and online adaptation with latent variable models for continuous control

8 Dec 2018Christian F. PerezFelipe Petroski SuchTheofanis Karaletsos

Traditional model-based RL relies on hand-specified or learned models of transition dynamics of the environment. These methods are sample efficient and facilitate learning in the real world but fail to generalize to subtle variations in the underlying dynamics, e.g., due to differences in mass, friction, or actuators across robotic agents or across time... (read more)

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