An RL agent learns to actively explore by being rewarded for inferring unobserved scene parts after short glimpse sequences, with sidekick policy learning enabling generalization to other active perception tasks.
Shapecodes: Self-supervised fea- ture learning by lifting views to viewgrids
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Emergence of Exploratory Look-Around Behaviors through Active Observation Completion
An RL agent learns to actively explore by being rewarded for inferring unobserved scene parts after short glimpse sequences, with sidekick policy learning enabling generalization to other active perception tasks.