ICML-Model-Based Reinforcement Learning via Latent-Space Collocation

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Model-Based Reinforcement Learning via Latent-Space Collocation

  Oleh Rybkin * 1 Chuning Zhu * 1 Anusha Nagabandi 2 Kostas Daniilidis 1 Igor Mordatch 3 Sergey Levine 4

             Abstract
   The ability to plan into the future while utiliz-
   ing only raw high-dimensional observations, such
   as images, can provide autonomous agents with
   broad capabilities. Visual model-based reinforce-
   ment learning (RL) methods that plan future ac-        LatCo optimization over latent states
   t ...

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