Considering Context: When World Models Need Context Encoders
Methods for generalization in model-based reinforcement learning typically assume that an agent cannot recover the latent context governing the environment dynamics from its own experience, and therefore supplies it externally. We formalize and test this assumption with \emph{predictive sufficiency}, which quantifies w...
Oleg Smirnov, Sofiane Ennadir, John Pertoft et al.
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