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Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials
There is broad interest in creating RL agents that can solve many (related) tasks and adapt to new tasks and environments after initial training.
Efficient transfer learning and online adaptation with latent variable models for continuous control
Traditional model-based RL relies on hand-specified or learned models of transition dynamics of the environment.
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