A state-embedding method learns asymmetric minimum-action distances from state-only trajectories and beats existing representation methods on tested environments.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Learning The Minimum Action Distance
A state-embedding method learns asymmetric minimum-action distances from state-only trajectories and beats existing representation methods on tested environments.