MAGIK reuses a source RL policy for new analogous tasks by using a semi-supervised VAE to imagine target observations in source form, achieving zero-shot transfer in MiniGrid and Reacher.
Chevalier-Boisvert, B
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer
MAGIK reuses a source RL policy for new analogous tasks by using a semi-supervised VAE to imagine target observations in source form, achieving zero-shot transfer in MiniGrid and Reacher.