Adam Jelley
Adam Jelley
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1
Contrastive Meta-Learning for Partially Observable Few-Shot Learning
An approach for meta-learning contrastive representations under partial observability. We demonstrate this approach can be utilised by reinforcement learning agents to learn a representation of their environment.
Adam Jelley
,
Amos Storkey
,
Antreas Antoniou
,
Sam Devlin
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