Sam Greydanus

Learning Finite State Representations of Recurrent Policy Networks

2018 · arXiv (Cornell University)

Recurrent neural networks (RNNs) are an effective representation of control policies for a wide range of reinforcement and imitation learning problems. RNN policies, however, are particularly difficult to explain, understand, and analyze due to their …