Learning Policy Representations for Steerable Behavior Synthesis

Beiming Li, Sergio Rozada, Alejandro Ribeiro

Given a Markov decision process (MDP), we seek to learn representations for a range of policies to facilitate behavior steering at test time. As policies of an MDP are uniquely det…