We extend asymmetric actor-critic methods to leverage arbitrary state-dependent privileged signals and introduce criteria to identify which signals most effectively improve learning in partially observable environments.
Jul 11, 2026
We extend asymmetric actor-critic methods to leverage arbitrary state-dependent privileged signals and introduce criteria to identify which signals most effectively improve learning in partially observable environments.
Apr 30, 2026