The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited

Kenneth Eaton, Jonathan Balloch, Julia Kim +1

Interpretability of deep reinforcement learning systems could assist operators with understanding how they interact with their environment. Vector quantization methods -- also call…