BMIL learns belief modules jointly with policies for GAIL-style imitation learning in POMDPs, outperforming separate training and standard GAIL on continuous control tasks.
The proof is a simple application of the data- processing inequality for f-divergences (Ali & Silvey, 1966), of whichDJS is a type
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Learning Belief Representations for Imitation Learning in POMDPs
BMIL learns belief modules jointly with policies for GAIL-style imitation learning in POMDPs, outperforming separate training and standard GAIL on continuous control tasks.