Model-Based Reinforcement Learning via Latent-Space Collocation

Our planner, LatCo, solves multi-stage long-horizon tasks much harder than those considered previously. By optimizing a sequence of future latent states instead of optimizing actions directly, it quickly discovers the high-reward region to create effective plans.

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