Learning Explainable and Better Performing Representations of POMDP Strategies

Alexander Bork, Debraj Chakraborty, Kush Grover +2

Strategies for partially observable Markov decision processes (POMDP) typically require memory. One way to represent this memory is via automata. We present a method to learn an au…